* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 100.2k; active 93.5k; cache 6.7k/7%; p≈2.9ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 45.9s
Time: model 44.4s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 100.2k; active 93.5k; cache 6.7k/7%; p≈2.9ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:**


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 52.0s
Time: model 50.5s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 100.2k; active 93.5k; cache 6.7k/7%; p≈2.9ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5.4**.

Important nuance:
- **ChatGPT Pro** says regular GPT-5 access in ChatGPT is unlimited subject to guardrails


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 57.9s
Time: model 56.4s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 100.2k; active 93.5k; cache 6.7k/7%; p≈2.9ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5.4**.

Important nuance:
- **ChatGPT Pro** says regular GPT-5 access in ChatGPT is unlimited subject to guardrails
- **Codex** has its own usage/credit system and limits

So:
- **inside Codex:** 5.3


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5.4**.

Important nuance:
- **ChatGPT Pro** says regular GPT-5 access in ChatGPT is unlimited subject to guardrails
- **Codex** has its own usage/credit system and limits

So:
- **inside Codex:** 5.3-Codex is cheaper than 5.4
- **plain ChatGPT GPT-5 chats:** that’s a different bucket

Source: OpenAI


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_jFwbQCDIYpk72uZFP2lfogf | https://developers.openai.com/codex/pricing (text/html; charset=utf-8) / completed / call_KML2Uz7mQMTkLTJawux0cuw | webfetch / failed / call_jFwbQCDIYpk72uZFP2lfogf | webfetch / failed / call_Vnws8AmGrANpUK73o4DnKus
Draft:
ex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5.4**.

Important nuance:
- **ChatGPT Pro** says regular GPT-5 access in ChatGPT is unlimited subject to guardrails
- **Codex** has its own usage/credit system and limits

So:
- **inside Codex:** 5.3-Codex is cheaper than 5.4
- **plain ChatGPT GPT-5 chats:** that’s a different bucket

Source: OpenAI’s official Codex pricing page (`developers.openai.com/codex/pricing`).


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 62.4s
Time: model 60.9s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 11.9k o 319 t 296 cache 109.6k/90% est $0.0391; p≈3.0ktok/12.1kch
Ctx: direct ACP session 100.2k; active 93.5k; cache 6.7k/7%; p≈2.9ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15


Yeah — you’re right, I answered the wrong question.

From the official Codex pricing docs, **GPT-5.3-Codex is cheaper on included Codex quota than GPT-5.4**, not more expensive.

Official signals:
- On the Codex Plus/Pro rate card, average **local task** cost is about:
  - **GPT-5.3-Codex: ~5 credits**
  - **GPT-5.4: ~7 credits**
- On the token-based credit table, GPT-5.3-Codex is also lower:
  - **input:** 43.75 credits / 1M tokens vs **62.5** for GPT-5.4
  - **cached input:** 4.375 vs **6.25**
  - **output:** 350 vs **375**

So if by “subscription quota” you mean **Codex usage within ChatGPT Pro**, then **5.3-Codex burns less included Codex quota than 5.4**.

Important nuance:
- **ChatGPT Pro** says regular GPT-5 access in ChatGPT is unlimited subject to guardrails
- **Codex** has its own usage/credit system and limits

So:
- **inside Codex:** 5.3-Codex is cheaper than 5.4
- **plain ChatGPT GPT-5 chats:** that’s a different bucket

Source: OpenAI’s official Codex pricing page (`developers.openai.com/codex/pricing`).


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 62.9s
Time: model 60.9s, overhead 2.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 11.9k o 319 t 296 cache 109.6k/90% est $0.0391; p≈3.0ktok/12.1kch
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 9.5%; usable 9.7%; observed turns 14; actual turns 15


Thanks we might try 5.3 codex next


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 15


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 15


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 15


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.4kch
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 15


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 15
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.5s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.4kch
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16


🟡 Working
Stage: direct ACP first session update (2.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16
Label: persistent-chat


* 🟡 Working
Stage: direct ACP first visible text (2.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16
Label: persistent-chat


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16
Label: persistent-chat


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Makes


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 11.8s
Time: model 10.3s, overhead 1.0s
Label: persistent-chat
Turn: p≈2.6ktok/10.4kch
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Makes sense. If you do, I’d expect it to be a sensible choice when Codex


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Makes sense. If you do, I’d expect it to be a sensible choice when Codex quota efficiency matters.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 13.6s
Time: model 12.1s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 117.2k o 27 cache 6.7k/5% est $0.2935; p≈2.6ktok/10.4kch
Ctx: direct ACP session 122.1k; active 12.5k; cache 109.6k/90%; p≈3.0ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16


Makes sense. If you do, I’d expect it to be a sensible choice when Codex quota efficiency matters.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 14.3s
Time: model 12.1s, overhead 2.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 117.2k o 27 cache 6.7k/5% est $0.2935; p≈2.6ktok/10.4kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.6%; usable 11.9%; observed turns 15; actual turns 16


What are the technical differences?


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 16


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 16


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 16


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.3s
Time: overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 16


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 16
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.7s
Time: model 5.0s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: direct ACP first session update (4.7s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.4s
Time: model 10.7s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: direct ACP first tool update (7.6s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / pending / call_ikFojhjGBrcBGwOhyFjs3vU


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / pending / call_ikFojhjGBrcBGwOhyFjs3vU | websearch / in_progress / call_ikFojhjGBrcBGwOhyFjs3vU


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / pending / call_ikFojhjGBrcBGwOhyFjs3vU | websearch / in_progress / call_ikFojhjGBrcBGwOhyFjs3vU | webfetch / pending / call_kj6fqcC4dTtyS4Jonb26IjX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / pending / call_ikFojhjGBrcBGwOhyFjs3vU | websearch / in_progress / call_ikFojhjGBrcBGwOhyFjs3vU | webfetch / pending / call_kj6fqcC4dTtyS4Jonb26IjX | webfetch / in_progress / call_kj6fqcC4dTtyS4Jonb26IjX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_ikFojhjGBrcBGwOhyFjs3vU | webfetch / pending / call_kj6fqcC4dTtyS4Jonb26IjX | webfetch / in_progress / call_kj6fqcC4dTtyS4Jonb26IjX | websearch / pending / call_TyjjEDnY4ZEG8Lxm9aOSkZG


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / pending / call_kj6fqcC4dTtyS4Jonb26IjX | webfetch / in_progress / call_kj6fqcC4dTtyS4Jonb26IjX | websearch / pending / call_TyjjEDnY4ZEG8Lxm9aOSkZG | websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: webfetch / in_progress / call_kj6fqcC4dTtyS4Jonb26IjX | websearch / pending / call_TyjjEDnY4ZEG8Lxm9aOSkZG | websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / pending / call_TyjjEDnY4ZEG8Lxm9aOSkZG | websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.6s
Time: model 21.9s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 29.0s
Time: model 27.4s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: direct ACP first visible text (24.2s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Official


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **special


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 34.5s
Time: model 32.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model**


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 40.3s
Time: model 38.7s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 46.2s
Time: model 44.5s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

-


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`,


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 52.4s
Time: model 50.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling /


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-C


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 58.5s
Time: model 56.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
PT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
ths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 64.5s
Time: model 62.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
er professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 70.6s
Time: model 69.0s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 /


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 76.9s
Time: model 75.2s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
w`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
`high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex** if you want a **cheaper, coding-first Codex model**
- choose **5.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
icitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex** if you want a **cheaper, coding-first Codex model**
- choose **5.4** if you want a **broader, more tool-native, longer-context model** that also


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 83.0s
Time: model 81.3s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
ol search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex** if you want a **cheaper, coding-first Codex model**
- choose **5.4** if you want a **broader, more tool-native, longer-context model** that also codes very well

If you want, I can turn that into a **“when


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: websearch / in_progress / call_TyjjEDnY4ZEG8Lxm9aOSkZG | https://developers.openai.com/api/docs/models/gpt-5.3-codex (text/html) / completed / call_kj6fqcC4dTtyS4Jonb26IjX | Web search: site:openai.com GPT-5.3-Codex GPT-5.4 technical differences official / completed / call_ikFojhjGBrcBGwOhyFjs3vU | Web search: site:developers.openai.com GPT-5.4 model docs reasoning coding offic / completed / call_TyjjEDnY4ZEG8Lxm9aOSkZG
Draft:
e** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex** if you want a **cheaper, coding-first Codex model**
- choose **5.4** if you want a **broader, more tool-native, longer-context model** that also codes very well

If you want, I can turn that into a **“when to pick which”** cheat sheet.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 85.3s
Time: model 83.6s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 16.2k o 527 t 373 cache 126.0k/89% est $0.0539; p≈2.5ktok/9.9kch
Ctx: direct ACP session 123.9k; active 117.3k; cache 6.7k/5%; p≈2.6ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


Officially, the main technical difference is:

- **GPT-5.3-Codex** = **specialized agentic coding model**
- **GPT-5.4** = **general frontier work model** that **inherits 5.3-Codex’s coding strengths** and adds broader tool/workflow capability

More concretely:

- **Role**
  - **5.3-Codex:** optimized for coding in Codex-like environments
  - **5.4:** broader professional/agentic model for coding + research + docs + spreadsheets + tool ecosystems

- **Context window**
  - **5.3-Codex:** **400k**
  - **5.4:** **1.05M**

- **Max output**
  - both: **128k**

- **Reasoning controls**
  - **5.3-Codex:** `low`, `medium`, `high`, `xhigh`
  - **5.4:** `none`, `low`, `medium`, `high`, `xhigh`

- **Tooling / environment**
  - **5.4** is the one OpenAI explicitly describes as adding stronger cross-tool behavior, **tool search**, and **computer-use** capability
  - **5.3-Codex** is more narrowly centered on being a strong coding agent

- **Performance framing from OpenAI**
  - **5.3-Codex:** “most capable agentic coding model” at launch
  - **5.4:** incorporates 5.3-Codex coding ability, but improves work across tools and longer workflows; OpenAI says it **matches or beats 5.3-Codex on SWE-Bench Pro** while being lower-latency across reasoning efforts

- **Cost**
  - **API pricing:** 5.3-Codex is cheaper
    - 5.3-Codex: **$1.75 / $14**
    - 5.4: **$2.50 / $15**
  - **ChatGPT Codex quota:** 5.3-Codex also consumes less included quota on average

So the practical summary is:

- choose **5.3-Codex** if you want a **cheaper, coding-first Codex model**
- choose **5.4** if you want a **broader, more tool-native, longer-context model** that also codes very well

If you want, I can turn that into a **“when to pick which”** cheat sheet.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 85.9s
Time: model 83.6s, overhead 2.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 16.2k o 527 t 373 cache 126.0k/89% est $0.0539; p≈2.5ktok/9.9kch
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


No it's good thank you


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/10.2kch
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 17
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.6s
Time: model 5.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.5ktok/10.2kch
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


* 🟡 Working
Stage: direct ACP first session update (2.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (2.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


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


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


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 10.8s
Time: model 9.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 138.4k o 8 cache 6.7k/5% est $0.3460; p≈2.5ktok/10.2kch
Ctx: direct ACP session 143.0k; active 17.1k; cache 126.0k/89%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


You’re welcome.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 11.3s
Time: model 9.3s, overhead 2.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 138.4k o 8 cache 6.7k/5% est $0.3460; p≈2.5ktok/10.2kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


Also we're now back on 1m context


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 0.9s
Time: overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 18
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP prompt started (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.4s
Time: model 5.0s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19


* 🟡 Working
Stage: direct ACP first session update (5.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.0s
Time: model 10.6s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19


* 🟡 Working
Stage: direct ACP first visible text (5.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 11.8%; usable 12.0%; observed turns 16; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah


* 🟡 Working
Stage: direct ACP first tool update (6.5s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_XjotroOslmBA1fjGQBiNpqU
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_XjotroOslmBA1fjGQBiNpqU | tool / completed / call_XjotroOslmBA1fjGQBiNpqU
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_XjotroOslmBA1fjGQBiNpqU | tool / completed / call_XjotroOslmBA1fjGQBiNpqU | matrix_lite_status_health_report / pending / call_qTRnE6k8T1k8TNrXnmwZQvD
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_XjotroOslmBA1fjGQBiNpqU | tool / completed / call_XjotroOslmBA1fjGQBiNpqU | matrix_lite_status_health_report / pending / call_qTRnE6k8T1k8TNrXnmwZQvD | tool / completed / call_qTRnE6k8T1k8TNrXnmwZQvD
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_XjotroOslmBA1fjGQBiNpqU | matrix_lite_status_health_report / pending / call_qTRnE6k8T1k8TNrXnmwZQvD | tool / completed / call_qTRnE6k8T1k8TNrXnmwZQvD | matrix_lite_status_list_session_log_files / pending / call_nPghjg17xVhouR2lWhd0TQ8
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_health_report / pending / call_qTRnE6k8T1k8TNrXnmwZQvD | tool / completed / call_qTRnE6k8T1k8TNrXnmwZQvD | matrix_lite_status_list_session_log_files / pending / call_nPghjg17xVhouR2lWhd0TQ8 | tool / completed / call_nPghjg17xVhouR2lWhd0TQ8
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.8s
Time: model 16.4s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_qTRnE6k8T1k8TNrXnmwZQvD | matrix_lite_status_list_session_log_files / pending / call_nPghjg17xVhouR2lWhd0TQ8 | tool / completed / call_nPghjg17xVhouR2lWhd0TQ8 | matrix_lite_status_list_session_log_files / pending / call_j4epNFde922cbljDoPYCavl
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_list_session_log_files / pending / call_nPghjg17xVhouR2lWhd0TQ8 | tool / completed / call_nPghjg17xVhouR2lWhd0TQ8 | matrix_lite_status_list_session_log_files / pending / call_j4epNFde922cbljDoPYCavl | tool / completed / call_j4epNFde922cbljDoPYCavl
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_nPghjg17xVhouR2lWhd0TQ8 | matrix_lite_status_list_session_log_files / pending / call_j4epNFde922cbljDoPYCavl | tool / completed / call_j4epNFde922cbljDoPYCavl | matrix_lite_status_load_session_log_file / pending / call_JwQmi7FJNE26I0oeP4LUnMw
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_list_session_log_files / pending / call_j4epNFde922cbljDoPYCavl | tool / completed / call_j4epNFde922cbljDoPYCavl | matrix_lite_status_load_session_log_file / pending / call_JwQmi7FJNE26I0oeP4LUnMw | tool / completed / call_JwQmi7FJNE26I0oeP4LUnMw
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_j4epNFde922cbljDoPYCavl | matrix_lite_status_load_session_log_file / pending / call_JwQmi7FJNE26I0oeP4LUnMw | tool / completed / call_JwQmi7FJNE26I0oeP4LUnMw | matrix_lite_status_load_session_log_file / pending / call_hRP1XwBmc525HyLoaQuRDtu
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_JwQmi7FJNE26I0oeP4LUnMw | tool / completed / call_JwQmi7FJNE26I0oeP4LUnMw | matrix_lite_status_load_session_log_file / pending / call_hRP1XwBmc525HyLoaQuRDtu | tool / completed / call_hRP1XwBmc525HyLoaQuRDtu
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_JwQmi7FJNE26I0oeP4LUnMw | matrix_lite_status_load_session_log_file / pending / call_hRP1XwBmc525HyLoaQuRDtu | tool / completed / call_hRP1XwBmc525HyLoaQuRDtu | matrix_lite_status_load_session_log_file / pending / call_Ukjo8k8V4XLFkGEPHuIauqc
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_hRP1XwBmc525HyLoaQuRDtu | tool / completed / call_hRP1XwBmc525HyLoaQuRDtu | matrix_lite_status_load_session_log_file / pending / call_Ukjo8k8V4XLFkGEPHuIauqc | tool / completed / call_Ukjo8k8V4XLFkGEPHuIauqc
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_hRP1XwBmc525HyLoaQuRDtu | matrix_lite_status_load_session_log_file / pending / call_Ukjo8k8V4XLFkGEPHuIauqc | tool / completed / call_Ukjo8k8V4XLFkGEPHuIauqc | matrix_lite_status_search_session_logs / pending / call_KTEnJKPUB5TXD9t2yXQRbVS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_load_session_log_file / pending / call_Ukjo8k8V4XLFkGEPHuIauqc | tool / completed / call_Ukjo8k8V4XLFkGEPHuIauqc | matrix_lite_status_search_session_logs / pending / call_KTEnJKPUB5TXD9t2yXQRbVS | tool / completed / call_KTEnJKPUB5TXD9t2yXQRbVS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_Ukjo8k8V4XLFkGEPHuIauqc | matrix_lite_status_search_session_logs / pending / call_KTEnJKPUB5TXD9t2yXQRbVS | tool / completed / call_KTEnJKPUB5TXD9t2yXQRbVS | matrix_lite_status_search_session_logs / pending / call_feKjLKPcZf4wcjmLtz1UyQd
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.0s
Time: model 22.6s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_search_session_logs / pending / call_KTEnJKPUB5TXD9t2yXQRbVS | tool / completed / call_KTEnJKPUB5TXD9t2yXQRbVS | matrix_lite_status_search_session_logs / pending / call_feKjLKPcZf4wcjmLtz1UyQd | tool / completed / call_feKjLKPcZf4wcjmLtz1UyQd
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_KTEnJKPUB5TXD9t2yXQRbVS | matrix_lite_status_search_session_logs / pending / call_feKjLKPcZf4wcjmLtz1UyQd | tool / completed / call_feKjLKPcZf4wcjmLtz1UyQd | matrix_lite_status_search_session_logs / pending / call_0myoPWNGw1yx3TsFzdVqKYU
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_search_session_logs / pending / call_feKjLKPcZf4wcjmLtz1UyQd | tool / completed / call_feKjLKPcZf4wcjmLtz1UyQd | matrix_lite_status_search_session_logs / pending / call_0myoPWNGw1yx3TsFzdVqKYU | tool / completed / call_0myoPWNGw1yx3TsFzdVqKYU
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_feKjLKPcZf4wcjmLtz1UyQd | matrix_lite_status_search_session_logs / pending / call_0myoPWNGw1yx3TsFzdVqKYU | tool / completed / call_0myoPWNGw1yx3TsFzdVqKYU | matrix_lite_status_timer_list / pending / call_FFN6q2ngZHtntb6y9VN0UPu
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_search_session_logs / pending / call_0myoPWNGw1yx3TsFzdVqKYU | tool / completed / call_0myoPWNGw1yx3TsFzdVqKYU | matrix_lite_status_timer_list / pending / call_FFN6q2ngZHtntb6y9VN0UPu | tool / completed / call_FFN6q2ngZHtntb6y9VN0UPu
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_0myoPWNGw1yx3TsFzdVqKYU | matrix_lite_status_timer_list / pending / call_FFN6q2ngZHtntb6y9VN0UPu | tool / completed / call_FFN6q2ngZHtntb6y9VN0UPu | matrix_lite_status_subagent_log / pending / call_cN0v7IC3A4vAEEbUiUDUWAi
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_timer_list / pending / call_FFN6q2ngZHtntb6y9VN0UPu | tool / completed / call_FFN6q2ngZHtntb6y9VN0UPu | matrix_lite_status_subagent_log / pending / call_cN0v7IC3A4vAEEbUiUDUWAi | tool / completed / call_cN0v7IC3A4vAEEbUiUDUWAi
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_FFN6q2ngZHtntb6y9VN0UPu | matrix_lite_status_subagent_log / pending / call_cN0v7IC3A4vAEEbUiUDUWAi | tool / completed / call_cN0v7IC3A4vAEEbUiUDUWAi | matrix_lite_status_list_session_log_files / pending / call_YdHAJGY4NMNF0xoSt3sskz5
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_log / pending / call_cN0v7IC3A4vAEEbUiUDUWAi | tool / completed / call_cN0v7IC3A4vAEEbUiUDUWAi | matrix_lite_status_list_session_log_files / pending / call_YdHAJGY4NMNF0xoSt3sskz5 | tool / completed / call_YdHAJGY4NMNF0xoSt3sskz5
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_cN0v7IC3A4vAEEbUiUDUWAi | matrix_lite_status_list_session_log_files / pending / call_YdHAJGY4NMNF0xoSt3sskz5 | tool / completed / call_YdHAJGY4NMNF0xoSt3sskz5 | todowrite / pending / call_mVtKdTK4qVFAps4zbiSXHgM
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 29.6s
Time: model 28.2s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_list_session_log_files / pending / call_YdHAJGY4NMNF0xoSt3sskz5 | tool / completed / call_YdHAJGY4NMNF0xoSt3sskz5 | todowrite / pending / call_mVtKdTK4qVFAps4zbiSXHgM | 2 todos / completed / call_mVtKdTK4qVFAps4zbiSXHgM
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_YdHAJGY4NMNF0xoSt3sskz5 | todowrite / pending / call_mVtKdTK4qVFAps4zbiSXHgM | 2 todos / completed / call_mVtKdTK4qVFAps4zbiSXHgM | matrix_lite_status_subagent_status / pending / call_723pV3YEwjJ6zTJoeZDJlrA
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_mVtKdTK4qVFAps4zbiSXHgM | 2 todos / completed / call_mVtKdTK4qVFAps4zbiSXHgM | matrix_lite_status_subagent_status / pending / call_723pV3YEwjJ6zTJoeZDJlrA | tool / completed / call_723pV3YEwjJ6zTJoeZDJlrA
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: 2 todos / completed / call_mVtKdTK4qVFAps4zbiSXHgM | matrix_lite_status_subagent_status / pending / call_723pV3YEwjJ6zTJoeZDJlrA | tool / completed / call_723pV3YEwjJ6zTJoeZDJlrA | matrix_lite_status_search_session_logs / pending / call_VW8L9RkY9HnfydZ1FqIeinC
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_status / pending / call_723pV3YEwjJ6zTJoeZDJlrA | tool / completed / call_723pV3YEwjJ6zTJoeZDJlrA | matrix_lite_status_search_session_logs / pending / call_VW8L9RkY9HnfydZ1FqIeinC | tool / completed / call_VW8L9RkY9HnfydZ1FqIeinC
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_723pV3YEwjJ6zTJoeZDJlrA | matrix_lite_status_search_session_logs / pending / call_VW8L9RkY9HnfydZ1FqIeinC | tool / completed / call_VW8L9RkY9HnfydZ1FqIeinC | matrix_lite_status_runtime_debug_report / pending / call_n4dFkFuq8BZEf2ZExIdGwng
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_search_session_logs / pending / call_VW8L9RkY9HnfydZ1FqIeinC | tool / completed / call_VW8L9RkY9HnfydZ1FqIeinC | matrix_lite_status_runtime_debug_report / pending / call_n4dFkFuq8BZEf2ZExIdGwng | tool / completed / call_n4dFkFuq8BZEf2ZExIdGwng
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_VW8L9RkY9HnfydZ1FqIeinC | matrix_lite_status_runtime_debug_report / pending / call_n4dFkFuq8BZEf2ZExIdGwng | tool / completed / call_n4dFkFuq8BZEf2ZExIdGwng | todowrite / pending / call_XV6TSGyIznTBTVh8NYwGgo9
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_runtime_debug_report / pending / call_n4dFkFuq8BZEf2ZExIdGwng | tool / completed / call_n4dFkFuq8BZEf2ZExIdGwng | todowrite / pending / call_XV6TSGyIznTBTVh8NYwGgo9 | 3 todos / completed / call_XV6TSGyIznTBTVh8NYwGgo9
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_n4dFkFuq8BZEf2ZExIdGwng | todowrite / pending / call_XV6TSGyIznTBTVh8NYwGgo9 | 3 todos / completed / call_XV6TSGyIznTBTVh8NYwGgo9 | matrix_lite_status_subagent_spawn / pending / call_chWuIWm45dAxgDOVn3vi1iv
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_XV6TSGyIznTBTVh8NYwGgo9 | 3 todos / completed / call_XV6TSGyIznTBTVh8NYwGgo9 | matrix_lite_status_subagent_spawn / pending / call_chWuIWm45dAxgDOVn3vi1iv | tool / completed / call_chWuIWm45dAxgDOVn3vi1iv
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: 3 todos / completed / call_XV6TSGyIznTBTVh8NYwGgo9 | matrix_lite_status_subagent_spawn / pending / call_chWuIWm45dAxgDOVn3vi1iv | tool / completed / call_chWuIWm45dAxgDOVn3vi1iv | matrix_lite_status_subagent_log / pending / call_9GQg6pk4UKQFNOq9891AspI
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 35.3s
Time: model 33.9s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / call_chWuIWm45dAxgDOVn3vi1iv | tool / completed / call_chWuIWm45dAxgDOVn3vi1iv | matrix_lite_status_subagent_log / pending / call_9GQg6pk4UKQFNOq9891AspI | tool / completed / call_9GQg6pk4UKQFNOq9891AspI
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_chWuIWm45dAxgDOVn3vi1iv | matrix_lite_status_subagent_log / pending / call_9GQg6pk4UKQFNOq9891AspI | tool / completed / call_9GQg6pk4UKQFNOq9891AspI | matrix_lite_status_subagent_status / pending / call_aNmO73zXeHIZc8wzHE8rFxb
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_log / pending / call_9GQg6pk4UKQFNOq9891AspI | tool / completed / call_9GQg6pk4UKQFNOq9891AspI | matrix_lite_status_subagent_status / pending / call_aNmO73zXeHIZc8wzHE8rFxb | tool / completed / call_aNmO73zXeHIZc8wzHE8rFxb
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_9GQg6pk4UKQFNOq9891AspI | matrix_lite_status_subagent_status / pending / call_aNmO73zXeHIZc8wzHE8rFxb | tool / completed / call_aNmO73zXeHIZc8wzHE8rFxb | bash / pending / call_X4xjq4DT3OSKcPZkAMZEDnc
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_status / pending / call_aNmO73zXeHIZc8wzHE8rFxb | tool / completed / call_aNmO73zXeHIZc8wzHE8rFxb | bash / pending / call_X4xjq4DT3OSKcPZkAMZEDnc | Waits briefly for subagent / completed / call_X4xjq4DT3OSKcPZkAMZEDnc
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_aNmO73zXeHIZc8wzHE8rFxb | bash / pending / call_X4xjq4DT3OSKcPZkAMZEDnc | Waits briefly for subagent / completed / call_X4xjq4DT3OSKcPZkAMZEDnc | matrix_lite_status_subagent_spawn / pending / call_ZUBS76zfG4PWDOBrC08kuTd
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_X4xjq4DT3OSKcPZkAMZEDnc | Waits briefly for subagent / completed / call_X4xjq4DT3OSKcPZkAMZEDnc | matrix_lite_status_subagent_spawn / pending / call_ZUBS76zfG4PWDOBrC08kuTd | tool / completed / call_ZUBS76zfG4PWDOBrC08kuTd
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Waits briefly for subagent / completed / call_X4xjq4DT3OSKcPZkAMZEDnc | matrix_lite_status_subagent_spawn / pending / call_ZUBS76zfG4PWDOBrC08kuTd | tool / completed / call_ZUBS76zfG4PWDOBrC08kuTd | matrix_lite_status_subagent_spawn / pending / call_EsP8dk05AegCUxqERkkEfQy
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / call_ZUBS76zfG4PWDOBrC08kuTd | tool / completed / call_ZUBS76zfG4PWDOBrC08kuTd | matrix_lite_status_subagent_spawn / pending / call_EsP8dk05AegCUxqERkkEfQy | tool / completed / call_EsP8dk05AegCUxqERkkEfQy
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_ZUBS76zfG4PWDOBrC08kuTd | matrix_lite_status_subagent_spawn / pending / call_EsP8dk05AegCUxqERkkEfQy | tool / completed / call_EsP8dk05AegCUxqERkkEfQy | bash / pending / call_5ORVd5Z8dJaQtaSHA3BPmgT
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 40.9s
Time: model 39.6s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: matrix_lite_status_subagent_spawn / pending / call_EsP8dk05AegCUxqERkkEfQy | tool / completed / call_EsP8dk05AegCUxqERkkEfQy | bash / pending / call_5ORVd5Z8dJaQtaSHA3BPmgT | Shows third recent commit details / completed / call_5ORVd5Z8dJaQtaSHA3BPmgT
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: tool / completed / call_EsP8dk05AegCUxqERkkEfQy | bash / pending / call_5ORVd5Z8dJaQtaSHA3BPmgT | Shows third recent commit details / completed / call_5ORVd5Z8dJaQtaSHA3BPmgT | bash / pending / call_Qh6feeiKLvEVrYA79du2bVe
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_5ORVd5Z8dJaQtaSHA3BPmgT | Shows third recent commit details / completed / call_5ORVd5Z8dJaQtaSHA3BPmgT | bash / pending / call_Qh6feeiKLvEVrYA79du2bVe | Shows prior commit details / completed / call_Qh6feeiKLvEVrYA79du2bVe
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Shows third recent commit details / completed / call_5ORVd5Z8dJaQtaSHA3BPmgT | bash / pending / call_Qh6feeiKLvEVrYA79du2bVe | Shows prior commit details / completed / call_Qh6feeiKLvEVrYA79du2bVe | bash / pending / call_xeOiWecscRnAOiNYKZnKiz1
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_Qh6feeiKLvEVrYA79du2bVe | Shows prior commit details / completed / call_Qh6feeiKLvEVrYA79du2bVe | bash / pending / call_xeOiWecscRnAOiNYKZnKiz1 | Shows latest commit details / completed / call_xeOiWecscRnAOiNYKZnKiz1
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Shows prior commit details / completed / call_Qh6feeiKLvEVrYA79du2bVe | bash / pending / call_xeOiWecscRnAOiNYKZnKiz1 | Shows latest commit details / completed / call_xeOiWecscRnAOiNYKZnKiz1 | bash / pending / call_FLLaGQdYpKPOlfDChdNQ3hH
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_xeOiWecscRnAOiNYKZnKiz1 | Shows latest commit details / completed / call_xeOiWecscRnAOiNYKZnKiz1 | bash / pending / call_FLLaGQdYpKPOlfDChdNQ3hH | Summarizes recent matrix-lite diffs / completed / call_FLLaGQdYpKPOlfDChdNQ3hH
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Shows latest commit details / completed / call_xeOiWecscRnAOiNYKZnKiz1 | bash / pending / call_FLLaGQdYpKPOlfDChdNQ3hH | Summarizes recent matrix-lite diffs / completed / call_FLLaGQdYpKPOlfDChdNQ3hH | bash / pending / call_RkTowneTEZPeY4HNRuleu5O
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_FLLaGQdYpKPOlfDChdNQ3hH | Summarizes recent matrix-lite diffs / completed / call_FLLaGQdYpKPOlfDChdNQ3hH | bash / pending / call_RkTowneTEZPeY4HNRuleu5O | Shows recent matrix-lite commits / completed / call_RkTowneTEZPeY4HNRuleu5O
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.