GPT-6.1 Sol

Artificial Analysis reports that Google's Gemini 4 Hydrogen scores 54 on its Intelligence Index, just below Claude Sonnet 5.5 and GPT-6.1 Sol. It costs a third of Sonnet's cost but about 2.5x that of GPT-6.1 Sol, and adds an xhigh reasoning level.

The cost of running AI has fallen this year even as server rental prices rose. After U.S. voters elected officials who want to restrict data center expansion, The Information reports that some executives and investors worry capacity delays could stall that decline.

Replit released ViBench 2.0, a benchmark in which an agent builds a full software product feature by feature from an empty project. GPT-6.1 Sol leads with a 65% pass@1, followed by GPT-6 Astra at 60% and Opus 5.5 at 49%. No open-weight model passes a full build.

GitHub announced that GPT-6.1 Terra, which it describes as OpenAI's newest model, is now generally available in GitHub Copilot. The model is designed for everyday agentic coding and terminal work at a lower cost than GPT-6.1 Sol.

A Convovo study found that when forced to name a candidate in nearly 500 midterm races, SpaceXAI's Grok 4.7 recommended the Republican in 92% of answers and OpenAI's GPT-6.1 Sol picked the Democrat in 97%. The two models agreed less than 10% of the time. OpenAI says the API test does not reflect how ChatGPT behaves.

Cline v4.1.23 fixes a 4.1.22 regression that caused 400 errors when using Claude through custom Anthropic base URLs such as Azure AI Foundry. It also changes default models for 19 providers and adds GPT-6.1 Sol to the recommended list.

OpenAI's GPT-6.1 Sol is now generally available on Amazon Bedrock, targeting agentic coding, computer use, and document-heavy business workflows. OpenAI claims the model matches GPT-6 Astra on the DeepSWE v1.1 coding benchmark at roughly one-fifth the cost per task.

OpenAI has released GPT-6.1 Sol, an incremental upgrade to GPT-6 Sol positioned below flagship GPT-6 Astra in its GPT-6 lineup. The model features a 1.1M token context window, priced at $2 per 1M input tokens and $10 per 1M output tokens, with claimed improvements in factual accuracy and instruction-following on agentic tasks.