<matrix_lite_found_more>Good new finds! Here are the most relevant ones: **New private API providers (privacy-first, affordable):** | Provider | Privacy | Models | Context | Price (in/out per 1M) | |----------|---------|--------|---------|----------------------| | **Answira** 🇨🇿 | EU (Czech), no storage, no training | qwen3-coder-next | **256K** | **$0.07/$0.30** | | **Tensorix** 🇪🇺 | EU (Amsterdam/Frankfurt), zero retention | Kimi-K2.6, GLM-5.1 | 262K / 203K | $1.00/$4.00 | | **Together AI** 🇺🇸 | ZDR by default, opt-in training | DeepSeek, Qwen, Llama | 128K-1M | $0.10-$0.50 | | **Fireworks AI** 🇺🇸 | ZDR for open models, SOC 2, HIPAA | Llama, DeepSeek, Qwen | 128K | ~$0.10-$0.20 | | **Regolo.ai** 🇪🇺 | EU, zero retention, GDPR | Various open models | 128K+ | Pay-as-you-go | | **LLMBase** 🇩🇪 | German company, EU servers, no training | Open-source models | 128K-256K | Pay-per-use | **Standouts for your needs:** - **Answira** — Czech Republic, qwen3-coder-next at **$0.07/$0.30** with **256K context**, zero storage, no training. That's Qwen's coding model at absurdly low price with EU privacy. - **Together AI** — DeepSeek models hosted on their own US infrastructure. **Zero data retention by default.** The model authors (DeepSeek, Qwen) never see your requests. They explicitly say "DeepSeek itself receives no user requests or API traffic." - **Fireworks AI** — similar to Together, SOC 2 Type II certified, HIPAA compliant if that ever matters. **About your 12GB GPU:** Unfortunately Qwen3-Next (80B) won't fit — even at 4-bit it needs ~40GB. gpt-oss-20b at 4-bit would be ~10.5GB which might barely squeeze in with CPU offloading. For truly local 200K+ context on 12GB, nothing realistic exists yet — you'd need to use API-based models. DeepSeek V4 Flash or qwen3.5-flash via one of the ZDR providers is your best bet for now. Want me to look into setting up a test with DeepSeek Flash or the Answira qwen3-coder endpoint? </matrix_lite_found_more>


You are Persistent Assistant running through Matrix-lite. Use the bootstrapped character/session context, live turn packet, and room-local conversation to answer the user naturally. Conversation metadata: - conversation_key: persistent:main - session_label: persistent-chat-20260519T155636Z - prompt_package: None - shared_memory_profile: None - room_id: !CZLwoJfCyftA7oA5CVj2gIEKWqyv1lu01r0oFboEqZg - source_event_id: $EBvzz9oRG2Ir1vjDpCoQoqbvgcVY8iG0xf13MQTvi5A - reply_to_id: None - thread_root_id: None Persistent-chat memory/continuity context: Persistent-chat memory/continuity context: mode: turn_packet # Persistent Chat Turn Packet Generated: 2026-05-19T19:14:41.107726+00:00 ## Live context Live runtime capability context: Runtime details are dynamic; use Matrix-lite status/capability/permission/context tools when current paths, timers, repo access, or reload policy matter. Do not rely on boot-time guesses. Recent room-local conversation: User: The thing about Gemini is that the key is available and the embedding model is free, but the agents were very concerned about data privacy. As if Google would learn something from thousands of generated reports. As if we're not leaking somewhat private data left and right here. By the way, can you search for a private-ish API? There's Venice with some promises but it's expensive. Openrouter is big with corporate clients, maybe they promise something? What else is there? Assistant: Haha, fair point about Gemini — we're already sending plenty of data through various APIs. If you're fine with it, I can switch the embedding backend to Gemini which would give real semantic search over memory and repo index. The model is free-tier eligible and the key is already available. Now on to your question about private AI APIs — here's what I found: **Venice** — you mentioned it. Privacy-first with zero data retention at the architecture level. Models range from cheap DeepSeek ($0.33/$0.48 per 1M tokens, *Private* tier) to pricey Claude Opus ($6/$30, *Anonymized*). Four privacy tiers: Anonymized → Private → TEE → E2EE. Accepts crypto (VVV staking) and USD. Web search/scraping tools included. Embedding models too. Solid but spendy for the good stuff. **OpenRouter** — big with enterprise. ZDR enforcement per model group (Anthropic, OpenAI, Google, other). SOC-2, GDPR, EU region locking. BYOK support so your own keys can be used. They don't store prompts unless you opt in. Mostly a routing layer to existing providers rather than a privacy-first infra like Venice. **Other options:** | Service | Pricing | Privacy | Region | |---------|---------|---------|--------| | **Answ …[truncated] User: Yes let's dig deeper, I think we leaned the prompts enough to do a controlled test soon. Focus on the cheaper ones, I can't afford Venice, and I can't afford opus with any of them. But say openrouter has 'owl' which is for some reason free and have 1m context (probably some promo) Maybe there are others, check what they promise and compare prices. Assistant: Great research! Here's the budget-friendly picture: **Free tier: OpenRouter's Owl Alpha** — completely free, 1.05M context, native tool calling, compatible with OpenClaw/OpenCode. 295B MoE model (21B activated). The catch: prompts may be logged by the provider for model improvement. But for testing and prototyping, it's a no-brainer. OpenRouter also has a `openrouter/free` router that randomly selects from free models including Hunter Alpha, DeepSeek V4 Flash, and several cloaked models. **Cheapest paid options (per 1M tokens):** | Model | Input | Output | Context | Via | |-------|-------|--------|---------|-----| | GPT-5 Nano | $0.05 | $0.40 | 128K | OpenAI | | Mistral Small 3.2 | $0.06 | $0.18 | 128K | Mistral | | **qwen3.5-flash** | **$0.065** | **$0.26** | **1M** | **OpenRouter** | | Gemini Flash-Lite | $0.10 | $0.40 | 1M | Google | | DeepSeek V4 Flash | $0.17 | $0.30 | 1M | DeepSeek | | DeepSeek V3.2 | $0.28 | $0.42 | 128K | DeepSeek | **Best value plays:** - **qwen3.5-flash via OpenRouter** ($0.065/$0.26, 1M context) — this is the standout. 35% cheaper than direct Alibaba pricing, huge context, fast. - **DeepSeek V4 Flash** — free on OpenRouter, or $0.17/$0.30 direct. MoE …[truncated] User: The problem is that there's too much private information here, also by design. At some point I won't be comfortable using subscriptions anymore. What do I select in openrouter to make it more privacy friendly considering our conversations? What other providers should I try? Also we need at least 200k context until we trim the prompts even more Assistant: You're right to be cautious — there's a lot of private context flowing through these sessions. Here's what I'd recommend: **OpenRouter privacy settings to enable:** 1. **ZDR enforcement** — in your account Privacy Settings, toggle on ZDR for "Non-frontier" at minimum. This restricts routing to providers with zero data retention. You can also do it per-request with `zdr: true` 2. **Opt out of training** — separate toggle for paid/free models, prevents routing to providers that train on your data 3. **Disable prompt logging** — off by default, but verify in your settings that "Private Input & Output Logging" and "OpenRouter Use of Inputs/Outputs" are both disabled 4. **Important caveat**: ZDR through OpenRouter depends on the downstream provider. Calling a ZDR provider directly removes OpenRouter as an extra hop. For the privacy-sensitive stuff, direct is cleaner. **Providers with ≥200k context + strong privacy:** | Provider | Model | Context | Price (in/out per 1M) | Privacy | |----------|-------|---------|----------------------|---------| | OpenRouter | **DeepSeek V4 Flash** (free) | 1M | $0 | ZDR endpoints available | | OpenRouter | **qwen3.5-flash** | 1M | $0.065/$0.26 | ZDR v …[truncated] User: Hmm we should try deepseek flash soon. It was very terse in our subagent tests. Qwen-next also sounds interesting, my existing GPU is 12gb though and I'm not getting more anytime soon. Look for a couple of other private API providers Assistant: Good new finds! Here are the most relevant ones: **New private API providers (privacy-first, affordable):** | Provider | Privacy | Models | Context | Price (in/out per 1M) | |----------|---------|--------|---------|----------------------| | **Answira** 🇨🇿 | EU (Czech), no storage, no training | qwen3-coder-next | **256K** | **$0.07/$0.30** | | **Tensorix** 🇪🇺 | EU (Amsterdam/Frankfurt), zero retention | Kimi-K2.6, GLM-5.1 | 262K / 203K | $1.00/$4.00 | | **Together AI** 🇺🇸 | ZDR by default, opt-in training | DeepSeek, Qwen, Llama | 128K-1M | $0.10-$0.50 | | **Fireworks AI** 🇺🇸 | ZDR for open models, SOC 2, HIPAA | Llama, DeepSeek, Qwen | 128K | ~$0.10-$0.20 | | **Regolo.ai** 🇪🇺 | EU, zero retention, GDPR | Various open models | 128K+ | Pay-as-you-go | | **LLMBase** 🇩🇪 | German company, EU servers, no training | Open-source models | 128K-256K | Pay-per-use | **Standouts for your needs:** - **Answira** — Czech Republic, qwen3-coder-next at **$0.07/$0.30** with **256K context**, zero storage, no training. That's Qwen's coding model at absurdly low price with EU privacy. - **Together AI** — DeepSeek models hosted on their own US infrastructure. **Zero data retention by default.** The …[truncated] Recent incomplete/failed turns that still matter for continuity: - 2026-05-19T15:35:43.364645Z user said: okay i get it sorry. this should go away after next reload. i mean the wall of text not the permission issues - those should be gone already. status: failed; reason: Persistent-chat backend is wedged; controlled reload/replacement required - 2026-05-19T15:36:21.847790Z user said: oh not again status: failed; reason: Persistent-chat backend is wedged; controlled reload/replacement required - 2026-05-19T15:38:04.551759Z user said: test message status: failed; reason: Persistent-chat backend is wedged; controlled reload/replacement required - 2026-05-19T15:49:01.026811Z user said: ping status: failed; reason: Persistent-chat backend is wedged; controlled reload/replacement required - 2026-05-19T19:15:33.583208Z user said: I like your standout, please compare the pricing, say, on deepseek v4 pro status: user_only; reason: queued_for_conversation Recent/current attachment metadata, if any: None Message this user replied to, if any: None Queued/batched messages, if any: None Per-turn volatile reminders: - Answer normally and concisely. Put only user-visible answer text inside <matrix_lite_final>...</matrix_lite_final>. - Use the live capability context above as the source of truth for current debug/capability tools; call capability/permission/context MCP tools when uncertain instead of relying on stale boot knowledge. - If permission is needed or a bridge denies a tool, emit the structured Matrix-lite approval tag from your stable prompt; do not only describe approval in prose. - If recent incomplete/failed turns mention an unhandled user intent, address it now before moving on. - Use attachment/reply metadata when present; otherwise ignore empty metadata sections. - Do not mention internal Matrix-lite metadata unless the user asks. User message: I like your standout, please compare the pricing, say, on deepseek v4 pro


<matrix_lite_final>Here's the DeepSeek V4 Pro pricing showdown: **DeepSeek V4 Pro** (1.6T params, 49B active, 1M context, MIT license) | Provider | Input (cache miss) | Input (cache hit) | Output | Wait, what? | |----------|:-----------------:|:-----------------:|:------:|-------------| | **OpenRouter** 🏆 | **$0.44** | **$0.0036** | **$0.87** | Passes through promo pricing + auto-routing | | DeepSeek direct (promo) | $0.44 | $0.0036 | $0.87 | Same, but direct. Promo until May 31 | | DeepSeek direct (list) | $1.74 | $0.0145 | $3.48 | After May 31 — 4× jump | | Fireworks AI | $1.74 | $0.14 | $3.48 | List pricing, no promo | | Together AI | $2.10 | $0.20 | $4.40 | Most expensive option | **Best deal: OpenRouter at $0.44/$0.87.** Same as DeepSeek's promo pricing but with better uptime and fallback routing. **For context, the alternatives you were eyeing:** | Model | Provider | Input | Output | Context | |-------|----------|:-----:|:------:|:-------:| | **DeepSeek V4 Flash** (free) | OpenRouter/free | **$0** | **$0** | 1M | | DeepSeek V4 Flash (paid) | DeepSeek direct | $0.14 | $0.28 | 1M | | **qwen3-coder-next** 🇨🇿 | Answira | **$0.07** | **$0.30** | **256K** | | qwen3.5-flash | OpenRouter | $0.065 | $0.26 | 1M | | DeepSeek V4 Pro 🏆 | OpenRouter | $0.44 | $0.87 | 1M | **For testing DeepSeek Flash** — it's free on OpenRouter right now, so literally zero cost to try. The terseness you saw in subagent tests might be a system prompt or temperature tuning issue, not the model itself. Want me to prioritize which one to set up for a controlled test? </matrix_lite_final>