OpenAI launches GPT‑6.1 Sol as lower-cost agent model

OpenAI introduced GPT‑6.1 Sol, an upgrade to GPT‑6 Sol designed to deliver near-GPT‑6 Astra performance on agentic coding, computer use and professional work at one-fifth of Astra’s standard input and output token prices. Cached input costs $0.10 per million tokens, which OpenAI says is 95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing.

The model improves across software engineering, document analysis, business automation, computer-use workflows, scientific research and factuality. On DeepSWE v1.1, it matches GPT‑6 Astra at roughly one-fifth of the cost and beats GPT‑6 Sol’s best score by 6.4 percentage points. On AutomationBench, it scores 2.2 percentage points above Opus 5.5 at medium reasoning effort, at roughly a third of the cost.

OpenAI says GPT‑6.1 Sol also improves alignment behavior, with lower failure rates than GPT‑6 Sol on transparency, user restrictions and unauthorized outcomes during agentic tasks. GPT‑6.1 Sol is available starting today to Plus, Pro, Business, Enterprise and Edu users in ChatGPT Work and Codex, and through the API as gpt-6.1-sol. Standard API prices are $2 per million input tokens, $0.10 per million cached input tokens and $10 per million output tokens.