* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
Absolutely right — cost scales linearly with session length, and long sessions are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 180.7k; active 726; cache 180.0k; p≈3.3ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
Absolutely right — cost scales linearly with session length, and long sessions are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
Absolutely right — cost scales linearly with session length, and long sessions are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 198.4s
Time: model 197.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.7kch
Ctx: direct ACP session 180.7k; active 726; cache 180.0k; p≈3.3ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
Absolutely right — cost scales linearly with session length, and long sessions are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K2.6** — cheapest option, accept reloads
2. **Switch to DeepSeek V4 Flash** — 1M context, same cheap pricing as Kimi,


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
re cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K2.6** — cheapest option, accept reloads
2. **Switch to DeepSeek V4 Flash** — 1M context, same cheap pricing as Kimi, proven to work with cache
3. **Keep GPT-5.4 as a special-purpose tool** — only for complex coding/analysis tasks, not main chat


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 204.6s
Time: model 203.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.7kch
Ctx: direct ACP session 180.7k; active 726; cache 180.0k; p≈3.3ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K2.6** — cheapest option, accept reloads
2. **Switch to DeepSeek V4 Flash** — 1M context, same cheap pricing as Kimi, proven to work with cache
3. **Keep GPT-5.4 as a special-purpose tool** — only for complex coding/analysis tasks, not main chat

Given your cost sensitivity, **DeepSeek V4 Flash** is probably the sweet spot — 1M context window at ~$


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: persistent_chat_memory_search / pending / tool_3AjiinaXovLnbce7zCsK0Ex | persistent_chat_memory_search / in_progress / tool_3AjiinaXovLnbce7zCsK0Ex | tool / completed / tool_3AjiinaXovLnbce7zCsK0Ex
Draft:
0/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K2.6** — cheapest option, accept reloads
2. **Switch to DeepSeek V4 Flash** — 1M context, same cheap pricing as Kimi, proven to work with cache
3. **Keep GPT-5.4 as a special-purpose tool** — only for complex coding/analysis tasks, not main chat

Given your cost sensitivity, **DeepSeek V4 Flash** is probably the sweet spot — 1M context window at ~$0.03/turn, no context anxiety, no cost anxiety.

Should I investigate whether DeepSeek V4 is available and configured in your setup?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 208.1s
Time: model 206.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 2.8k o 677 cache 183.6k/100% est $0.0338; p≈3.4ktok/13.7kch
Ctx: direct ACP session 180.7k; active 726; cache 180.0k; p≈3.3ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


Absolutely right — cost scales linearly with session length, and long sessions are our primary mode. Let me check what we know about current costs:**This changes everything.** From the memory, I can see you're cost-sensitive ("eating ramen until September") and the current setup is much cheaper than I estimated.

**The real cost comparison:**

| | Kimi / DeepSeek V4 | GPT-5.4 | GPT-5.4 Mini |
|---|---|---|---|
| **Input** | ~$0.14/1M | $2.50/1M | $0.75/1M |
| **Output** | ~$0.28/1M | $15.00/1M | ? |
| **Cache** | 5x discount | 10x discount | ? |

**For a 100K turn:**
- Kimi/DeepSeek: ~**$0.03-0.05**
- GPT-5.4: ~**$1.75**
- **GPT-5.4 is ~35-50x more expensive**

**That makes GPT-5.4 completely untenable** for our use case of running long persistent sessions. Even GPT-5.4 Mini would be ~5-15x more expensive.

**Better alternatives:**
1. **Stay on Kimi K2.6** — cheapest option, accept reloads
2. **Switch to DeepSeek V4 Flash** — 1M context, same cheap pricing as Kimi, proven to work with cache
3. **Keep GPT-5.4 as a special-purpose tool** — only for complex coding/analysis tasks, not main chat

Given your cost sensitivity, **DeepSeek V4 Flash** is probably the sweet spot — 1M context window at ~$0.03/turn, no context anxiety, no cost anxiety.

Should I investigate whether DeepSeek V4 is available and configured in your setup?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 208.7s
Time: model 206.6s, overhead 2.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 2.8k o 677 cache 183.6k/100% est $0.0338; p≈3.4ktok/13.7kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


What about 5.4 mini? How does it compare to kimi?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 45


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.1s
Time: model 10.5s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.5s
Time: model 15.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 22.9s
Time: model 21.3s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 28.3s
Time: model 26.7s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 33.7s
Time: model 32.1s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 39.2s
Time: model 37.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 44.5s
Time: model 42.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 49.9s
Time: model 48.3s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 55.4s
Time: model 53.8s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 60.8s
Time: model 59.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached,


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 66.9s
Time: model 65.3s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
|


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 73.0s
Time: model 71.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 79.1s
Time: model 77.5s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi:


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 85.2s
Time: model 83.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
-


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
ch better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 91.2s
Time: model 89.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
m earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without reload anxiety), GPT-5.4 Mini's extra context is worth the ~$0.003/turn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
--|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without reload anxiety), GPT-5.4 Mini's extra context is worth the ~$0.003/turn premium.

Given your cost sensitivity, I'd say: **stick with Kimi for now**, but keep GPT-5.4 Mini


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
5/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without reload anxiety), GPT-5.4 Mini's extra context is worth the ~$0.003/turn premium.

Given your cost sensitivity, I'd say: **stick with Kimi for now**, but keep GPT-5.4 Mini in mind if the frequent reloads become annoying. The cost difference isn't huge per turn, but it adds up over hundreds of turns.


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 97.2s
Time: model 95.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_context_usage_report / pending / tool_Q9OyHb6BZAjG9dRl1jozETN | matrix_lite_status_context_usage_report / in_progress / tool_Q9OyHb6BZAjG9dRl1jozETN | tool / completed / tool_Q9OyHb6BZAjG9dRl1jozETN
Draft:
/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without reload anxiety), GPT-5.4 Mini's extra context is worth the ~$0.003/turn premium.

Given your cost sensitivity, I'd say: **stick with Kimi for now**, but keep GPT-5.4 Mini in mind if the frequent reloads become annoying. The cost difference isn't huge per turn, but it adds up over hundreds of turns.

Does that tradeoff make sense for your use case?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 97.9s
Time: model 96.3s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 1.8k o 889 cache 189.7k/100% est $0.0348; p≈3.4ktok/13.5kch
Ctx: direct ACP session 187.0k; active 3.4k; cache 183.6k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


**Current session status first:** We're at **186,986 / 262,144 tokens** (68.9%) with 18 turns. Good news — caching is working much better now: **183K cached, only 2.7K fresh input**. The cache fix from earlier is paying off.

**GPT-5.4 Mini vs Kimi K2.6:**

| | Kimi K2.6 | GPT-5.4 Mini |
|---|---|---|
| **Context** | 262K | 400K (+53%) |
| **Current usage** | 69% full | Would be 47% full |
| **Input cost** | ~$0.14/1M | $0.75/1M (~5x) |
| **Output cost** | ~$0.28/1M | ~$3-6/1M (estimated) |
| **Cost per turn** | ~$0.0012 | ~$0.004-0.005 (~3-4x) |

**At our current pace:**
- Kimi: ~18 turns = 69% context, approaching reload zone
- GPT-5.4 Mini: Same 18 turns = ~47% context, much more comfortable

**The math:**
- Kimi gives you ~25-30 turns before reload
- GPT-5.4 Mini gives you ~40-50 turns before reload
- But each GPT-5.4 Mini turn costs ~3-4x more

**Verdict:**
If you're doing **short bursts** (reload every ~25 turns anyway), Kimi is cheaper and fine.
If you want **longer continuous sessions** (50+ turns without reload anxiety), GPT-5.4 Mini's extra context is worth the ~$0.003/turn premium.

Given your cost sensitivity, I'd say: **stick with Kimi for now**, but keep GPT-5.4 Mini in mind if the frequent reloads become annoying. The cost difference isn't huge per turn, but it adds up over hundreds of turns.

Does that tradeoff make sense for your use case?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 98.3s
Time: model 96.3s, overhead 2.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 1.8k o 889 cache 189.7k/100% est $0.0348; p≈3.4ktok/13.5kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 68.9%; usable 74.6%; observed turns 18; actual turns 46


The thing is codex/chatgpt pro is pretty generous on gpt 5.4 mini and we might fit in the quotas. Also openai has all this info anyway, that's why not copilot. Also the caching might be better than kimi tbd. How does it compare to kimi capabilities wise? Benchmarks etc


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 46; stage warn


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 46; stage warn


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 46; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.9s
Time: overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 46; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.3s
Time: model 5.0s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.8s
Time: model 10.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.2s
Time: model 15.9s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 22.7s
Time: model 21.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 28.0s
Time: model 26.7s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 33.4s
Time: model 32.1s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 38.8s
Time: model 37.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 44.2s
Time: model 42.9s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 49.6s
Time: model 48.3s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 55.0s
Time: model 53.7s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 60.4s
Time: model 59.1s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 65.8s
Time: model 64.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 71.2s
Time: model 69.9s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 76.7s
Time: model 75.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 82.1s
Time: model 80.8s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 87.5s
Time: model 86.2s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 92.9s
Time: model 91.6s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 98.3s
Time: model 97.0s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 103.7s
Time: model 102.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 109.1s
Time: model 107.8s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 114.5s
Time: model 113.2s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 119.9s
Time: model 118.6s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 125.3s
Time: model 124.0s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 130.7s
Time: model 129.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 136.1s
Time: model 134.8s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 141.6s
Time: model 140.3s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 147.0s
Time: model 145.7s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 152.4s
Time: model 151.1s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 157.8s
Time: model 156.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data;


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 163.7s
Time: model 162.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 169.7s
Time: model 168.4s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 175.9s
Time: model 174.6s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
verage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
ay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
 with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 181.8s
Time: model 180.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
apabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
n my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing

**My recommendation given your constraints:** Try GPT-5.4 Mini. The combination of larger context + potential quota coverage


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 187.8s
Time: model 186.5s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
ng, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing

**My recommendation given your constraints:** Try GPT-5.4 Mini. The combination of larger context + potential quota coverage + avoiding Kimi's data handling makes it a strong candidate. We can always switch back if it under


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
del"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing

**My recommendation given your constraints:** Try GPT-5.4 Mini. The combination of larger context + potential quota coverage + avoiding Kimi's data handling makes it a strong candidate. We can always switch back if it underperforms.

Want to do a test run on GPT-5.4 Mini? We could run a few turns and compare context


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
ext
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing

**My recommendation given your constraints:** Try GPT-5.4 Mini. The combination of larger context + potential quota coverage + avoiding Kimi's data handling makes it a strong candidate. We can always switch back if it underperforms.

Want to do a test run on GPT-5.4 Mini? We could run a few turns and compare context usage, response quality, and caching behavior.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 192.4s
Time: model 191.1s, overhead 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 0 o 875 cache 195.1k est $0.0343; p≈3.5ktok/13.9kch
Ctx: direct ACP session 192.4k; active 2.7k; cache 189.7k/100%; p≈3.4ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


You're making excellent points that change the math completely:

1. **Pro quota coverage** — if GPT-5.4 Mini is included in your existing Pro subscription, marginal cost is ~zero. That's completely different from pay-per-token pricing.
2. **Privacy** — fair point. OpenAI already has ChatGPT data; Kimi is a separate Chinese provider with different data handling.
3. **Caching** — OpenAI offers 10x cache discount ($0.25 vs $2.50). If prefix stability is good, actual costs could be much lower than headline pricing.

**On capabilities/benchmarks:** I need to be honest — I don't have direct benchmark comparisons between GPT-5.4 Mini and Kimi K2.6 in my memory. What I know:

**GPT-5.4 Mini:**
- Positioned as "our strongest mini model yet for coding, computer use, and subagents"
- Brings "strengths of GPT-5.4 to a faster, more efficient model"
- 400K context

**Kimi K2.6:**
- 262K context
- Strong coding performance (Kimi has been competitive on coding benchmarks)
- Good long-context retention

**The honest assessment:** For persistent assistant work (coding, tool use, long conversations), both are likely capable enough that the difference is marginal. The real differentiators are:
- **Context window**: Mini wins (400K vs 262K)
- **Cost**: Mini likely wins (if covered by Pro)
- **Caching**: Unknown — needs testing with your actual prompt patterns
- **Long-session coherence**: Unknown — needs empirical testing

**My recommendation given your constraints:** Try GPT-5.4 Mini. The combination of larger context + potential quota coverage + avoiding Kimi's data handling makes it a strong candidate. We can always switch back if it underperforms.

Want to do a test run on GPT-5.4 Mini? We could run a few turns and compare context usage, response quality, and caching behavior.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 193.0s
Time: model 191.1s, overhead 2.0s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 0 o 875 cache 195.1k est $0.0343; p≈3.5ktok/13.9kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 73.4%; usable 79.5%; observed turns 20; actual turns 47; stage warn


Can you use them via subagents? Last time it broke but I think it maybe works now, try it. Compare speed and response quality and style, same prompts, make them a bit more detailed as we know for example deepseek flash was terse with bare prompts but fine with long ones.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 47; stage warn


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 47; stage warn


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 47; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.5s
Time: model 5.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.0s
Time: model 10.5s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.3s
Time: model 15.8s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 22.7s
Time: model 21.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 28.2s
Time: model 26.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 33.7s
Time: model 32.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 39.1s
Time: model 37.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 44.5s
Time: model 43.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 50.0s
Time: model 48.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 55.4s
Time: model 53.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 60.9s
Time: model 59.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 66.3s
Time: model 64.8s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 71.7s
Time: model 70.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 77.2s
Time: model 75.7s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 82.6s
Time: model 81.1s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 88.0s
Time: model 86.5s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 93.4s
Time: model 91.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 98.9s
Time: model 97.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 104.3s
Time: model 102.8s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 109.7s
Time: model 108.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 115.1s
Time: model 113.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 120.4s
Time: model 118.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 125.8s
Time: model 124.3s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 131.2s
Time: model 129.7s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 136.6s
Time: model 135.1s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 142.1s
Time: model 140.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 147.5s
Time: model 146.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 152.9s
Time: model 151.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 158.4s
Time: model 156.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 163.9s
Time: model 162.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_lT30Kxbl2FbWdfgRHIKVh9c


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 169.3s
Time: model 167.8s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 174.6s
Time: model 173.1s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 180.0s
Time: model 178.5s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_lT30Kxbl2FbWdfgRHIKVh9c


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 185.5s
Time: model 183.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 190.9s
Time: model 189.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / in_progress / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 196.4s
Time: model 194.9s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 202.1s
Time: model 200.6s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 207.7s
Time: model 206.1s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 🟡 Working
Stage: streaming direct ACP progress
Model: kimi-for-coding/k2p6
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn
Backend: ses_1ad63187affe5dMwgxkmqb1MGD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** →


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6**


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 214.5s
Time: model 213.0s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3fe1` (5 min timeout)

Same detailed infrastructure optimization


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3fe1` (5 min timeout)

Same detailed infrastructure optimization prompt sent to both. I'll check their status in a moment and


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 220.7s
Time: model 219.2s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3fe1` (5 min timeout)

Same detailed infrastructure optimization prompt sent to both. I'll check their status in a moment and report back with a head-to-head comparison


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_lT30Kxbl2FbWdfgRHIKVh9c | matrix_lite_status_subagent_spawn / in_progress / tool_pkmd1LMbINHifyd9evXTFnm | tool / completed / tool_pkmd1LMbINHifyd9evXTFnm
Draft:
Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3fe1` (5 min timeout)

Same detailed infrastructure optimization prompt sent to both. I'll check their status in a moment and report back with a head-to-head comparison of speed, depth, style, and practical value.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 223.9s
Time: model 222.4s, overhead 1.1s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 2.3k o 171 cache 198.9k/100% est $0.0341; p≈3.5ktok/14.0kch
Ctx: direct ACP session 195.9k; active 875; cache 195.1k; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


Both subagents are running in parallel:

- **GPT-5.4** → job `c8ce4eb783e2` (5 min timeout)
- **Kimi K2.6** → job `949b0b4d3fe1` (5 min timeout)

Same detailed infrastructure optimization prompt sent to both. I'll check their status in a moment and report back with a head-to-head comparison of speed, depth, style, and practical value.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 224.8s
Time: model 222.4s, overhead 2.4s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: i 2.3k o 171 cache 198.9k/100% est $0.0341; p≈3.5ktok/14.0kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 74.7%; usable 80.9%; observed turns 21; actual turns 48; stage warn


Ah I guess you still can't check their status without me asking. Please check


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 48; stage warn


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 48; stage warn


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.9s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.6s
Time: overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 48; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 7.5s
Time: model 5.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.9s
Time: model 10.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 18.3s
Time: model 15.8s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.7s
Time: model 21.2s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.1s
Time: model 26.6s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.5s
Time: model 32.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 39.9s
Time: model 37.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 45.5s
Time: model 43.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 50.9s
Time: model 48.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 56.5s
Time: model 54.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 61.9s
Time: model 59.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 67.3s
Time: model 64.8s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 72.8s
Time: model 70.3s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 78.2s
Time: model 75.7s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 83.6s
Time: model 81.1s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 89.1s
Time: model 86.6s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 94.5s
Time: model 92.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 99.9s
Time: model 97.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 105.5s
Time: model 103.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 110.9s
Time: model 108.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 116.5s
Time: model 114.0s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 121.9s
Time: model 119.4s, overhead 1.6s
Backend: ses_1ad63187affe5dMwgxkmqb1MGD
Turn: p≈3.2ktok/12.9kch
Ctx: direct ACP session 201.4k; active 2.5k; cache 198.9k/100%; p≈3.5ktok; ctx 76.8%; usable 83.2%; observed turns 22; actual turns 49; stage warn