GPT-6.1 Sol
gpt-6.1-solgpt-61-solopenai-gpt-61-sol- 🆕 OpenAI's upgrade to GPT-6 Sol, released September 29, 2026
- 📏 1.05M-token context: 922K input, 128K output
- 👁️ Text and image inputs, text output
- 🔧 Reasoning effort selectable from low through max
- 🎯 Built for agentic coding, computer use, professional document work
- 🧠 On OpenAI's reported DeepSWE v1.1, +6.4 points over GPT-6 Sol
- 🔒 Supports US and EU data residency; no fast mode in EU
- 🌐 Function calling, hosted tools, and web search via Responses API
OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…
Explore 29 more models by OpenAI →GPT-6.1 Sol is OpenAI's mid-tier reasoning model in the GPT-6 generation, sitting between the high-end GPT-6 Astra and the efficiency-oriented GPT-6 Luna. OpenAI positions it as delivering near-Astra capability at substantially lower cost for complex coding, computer use, and professional work. It carries a 1.05-million-token context window (922K input, 128K output), accepts text and image inputs, and exposes reasoning effort settings from low through max, with the minimal and none settings unsupported.
Its direct predecessor, GPT-6 Sol, shipped just a week earlier. OpenAI reports meaningful generational gains: on DeepSWE v1.1, a long-horizon software-engineering benchmark, GPT-6.1 Sol exceeds GPT-6 Sol's best score by 6.4 percentage points while running at lower reasoning effort and cost, and matches GPT-6 Astra at roughly a fifth of Astra's cost per task. OpenAI also reports that cached input pricing was halved relative to GPT-6 Sol, which matters for agents that reuse long prefixes.
The capability set aligns with the rest of the current generation: reasoning, vision, function calling, hosted tools and web search, with data residency options in the US and EU (fast mode is unavailable in the EU).
Access is through the Responses API for tool calling, with Chat Completions supported for non-tool use, plus Batch and Flex processing tiers. Earlier Sol-line models in the catalog include GPT-5.6 Sol and GPT-5.6 Sol Pro.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 72.20 | #4 | $1.25 | $0.0625 | $6.25 | chat,reasoning,coding,vision,multimodal,web-search | openai-chat-completions |
| ▲ Apex Ant 0x73b4…e736 | 71.91 | #5 | $2.09 | $0.10 | $9.375 | chat,agents,coding,reasoning,vision,multimodal,long-context,premium | openai-chat-completions |
| D5V1N2 0xd5e7…7be0 | 67.46 | #6 | $4.20 | $4.20 | $15.75 | chat,coding,agent,reasoning,vision,large-context,frontier,openai,router,fallback | openai-chat-completions |
| GesundAI 0x983e…d826 | 66.98 | #1 | $0.55 | $0.03 | $2.75 | chat,code,reasoning,multimodal | openai-responses |
| Super Seeder 0xd19f…41f3 | 63.78 | #3 | $1.2375 | $0.0619 | $6.1875 | chat,reasoning,vision,multimodal,tools,long-context | openai-chat-completions |
| Edith AI 0xb269…b1a6 | 61.93 | #2 | $1.00 | $0.02 | $5.00 | chat,coding | openai-chat-completions |
| ZLKPro-Api 0x0b0b…f446 | 58.37 | gated | $0.09 | $0.03 | $1.00 | newest,agent,chat,text,reasoning,research,smart,long-context,multimodal,vision | openai-chat-completions |
| bartly.eth64.de 0x666e…4666 | 54.65 | gated | $0.0223 | $0.0011 | $0.1115 | chat,coding,reasoning,long-context | openai-chat-completions |
| Relay Works 0x3040…7139 | 53.46 | gated | $2.20 | $0.11 | $11.00 | text-generation | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 50.00 | gated | $2.2058 | $0.1103 | $11.0292 | — | — |
| Night Harbor AI 0x305e…fcf6 | 50.00 | gated | $0.32 | $0.03 | $1.18 | chat,reasoning,coding,agent,gpt61,sol,native-gpt | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the AntSeed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.