Introducing GPT-6.1 Sol
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They're introducing GPT‑6.1 Sol, an upgrade to GPT‑6 Sol that nearly matches GPT‑6 Astra’s intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input and output token prices.
Key facts
- Its standard API prices are $2 per million input tokens, $0.10 per million cached input tokens, and $10 per million output tokens
- On Terminal-Bench Science 0.1, which evaluates scientific workflows including data analysis, simulation, and theorem proving, GPT‑6.1 Sol more than doubles GPT‑6 Sol’s score at maximum reasoning
- GPT‑6.1 Sol shows substantial improvements over GPT‑6 Sol in their alignment evaluations, bringing it closer to GPT‑6 Astra
- They're introducing GPT‑6.1 Sol, an upgrade to GPT‑6 Sol that nearly matches GPT‑6 Astra’s intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input
Summary
GPT‑6.1 Sol offers a new balance of capability and cost for important everyday work. On DeepSWE v1.1, which evaluates complex software-engineering tasks in real codebases, GPT‑6.1 Sol matches GPT‑6 Astra at roughly one-fifth of the cost, while eclipsing GPT‑6 Sol’s best score by 6.4 percentage points at a lower reasoning effort and cost. On GDP.pdf, which measures how accurately models answer professional questions using complex PDF documents, including tables, charts, diagrams, and fine-print details, GPT‑6.1 Sol scores higher than Opus 5.5 with fallbacks at less than half the cost per task across the tested reasoning settings. On AutomationBench, which measures whether agents correctly complete multi-step business workflows, GPT‑6.1 Sol scores 2.2 percentage points above Opus 5.5 at medium reasoning effort, at roughly a third of the cost.