GPT-6.1 Sol
GPT-6.1 Sol is a large language model introduced by OpenAI that balances performance and cost. It delivers intelligence approaching that of flagship models in coding, computer operation, and professional work scenarios, and is offered through the API at a fraction of the cost of flagship models.
Core Facts
Gemini 4 Argon is priced at $2/M input tokens and $10/M output tokens.
Artificial Analysis gave Argon an intelligence index score of 53, on par with GPT-6 Astra.
GPT-6.1 Sol places particular emphasis on three usage scenarios: coding, computer operation, and professional work.
Timeline (last 90 days)
GPT-6.1 Sol 在结构化 rubric 遵循上的进步，可能是 25% 偏离捕获率提升的主要来源。
Terminal X 的 Eval Agent 背后使用的模型是 GPT-6.1 Sol。
Terminal X 的 Eval Agent 在评估投资组合是否符合基金 mandate 时，与资深投资人的判断一致率达到 88.6%。
Third Moment Research uses GPT-6 Astra, GPT-6.1 Sol, Codex and Daybreak to manage 10,000 agents, working for more than 36 hours in the cybersecurity domain.
After integrating its Google Search API and Extract API with the GPT-6.1 Sol model, SerpApi achieved 97.6% accuracy on the SimpleQA Verified benchmark.
On the Seal-0 benchmark, SerpApi using GPT-6.1 Sol (medium reasoning effort) with Google and Extract scored 58.56% (65/111).
In its tests, SerpApi used GPT-6.1 Sol (low reasoning effort) as the answer model, with scoring performed by GPT-5.6 Sol (high reasoning effort) without access to search tools.
GPT-6.1 Sol's price in the list is 70% lower than OpenAI's official list price.
OpenRouter call records show that 117 of Jev Router's 118 calls were routed to GPT-6.1 Sol.
When competing on its own, GPT-6.1 Sol ranked third on the Forge 2.0 leaderboard with a score of 0.5933.
40 more timeline events
All Facts (20)
Gemini 4 Argon is priced at $2/M input tokens and $10/M output tokens.
90%VerifiedArtificial Analysis gave Argon an intelligence index score of 53, on par with GPT-6 Astra.
80%VerifiedGPT-6.1 Sol places particular emphasis on three usage scenarios: coding, computer operation, and professional work.
80%VerifiedGPT-6.1 Sol has not demonstrated a clear qualitative capability leap over its predecessor on structured generation tasks.
75%VerifiedGPT-6 Sol and GPT-6 Luna deliver strong performance at lower cost and have pushed the Pareto frontier on the OfficeQA Pro benchmark
75%VerifiedGPT-6.1 Sol performs best on the DeepSWE benchmark at the high reasoning effort level
70%VerifiedOpenAI officially claims that GPT-4.1 Sol is smarter than Astra in certain respects.
70%VerifiedGPT-6 Astra's context window is approximately 1 million tokens.
70%VerifiedIn the 12-question hands-on test, Gemini 4 Argon's record against Claude Opus 5.5 was 0 wins, 5 draws and 7 losses, and against GPT-6.1 Sol was 2 wins, 4 draws and 6 losses, ranking last among the three.
65%VerifiedOn the DeepSuite benchmark, Grok 4.7 scored 71%, GPT 5.6 Sol scored 72.7%, Fable 5.1 scored 70%, and Astra Max topped the leaderboard at 74.1%.
65%VerifiedGPT-6 Astra is notably different from previous model iterations, being powerful in certain respects while showing little improvement or even appearing to regress in other scenarios.
65%Verified@ai-sdk/openai@3.0.121 was released as a patch version, with the core change being the addition of support for the GPT-6.1 Sol model.
90%VerifiedGPT-6 Sol and Anthropic's Opus 5.5 were released on the same day.
70%VerifiedDevin officially announced that the newly integrated GPT-5.6 Sol model is now live on both the Devin Desktop and Devin CLI platforms
65%Partially VerifiedGPT-4.1 Sol is smarter than GPT-4 Sol but noticeably slower in token generation speed.
75%Unverifiedv3.21.0 falls under the Features category, with the specific change being: add GPT-6.1 Sol model identifier (#3986).
70%Partially VerifiedThe OpenRouter model pages show that across all traffic, DeepSeek V4.1 Flash accounts for about 36% of tokens and GPT-6.1 Sol about 18%.
65%Partially VerifiedThe test covered four vision models: Claude Sonnet 5 (Anthropic), Gemini 3 Flash (Google), Gemini 3.1 Flash-Lite (Google), and GPT-5.4 nano (OpenAI).
65%Partially VerifiedThe author consumed only about 3% of the monthly quota after extensive testing for an entire day, suggesting that GPT-6.1 Sol's token efficiency is quite good
65%Partially VerifiedThe overall assessment of GPT-6.1 Sol is that it is a competent model with high token efficiency and competitive pricing, but it is outperformed in dynamic 3D game visual impact by Claude Sonnet 5.5 at the same price point
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