We'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. Cached input costs just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing—giving developers more room to build and run capable agents that reuse context across requests.

GPT‑6.1 Sol offers a new balance of capability and cost for important everyday work. It delivers substantial improvements over GPT‑6 Sol across complex professional tasks, from writing and debugging code to understanding documents and executing multi-step business workflows. On several of these evaluations, it approaches GPT‑6 Astra’s performance at substantially lower cost.

On Deep SWE v1.1, 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. On GDP.pdf, it scores higher than Opus 5.5 with fallbacks at less than half the cost per task. On Automation Bench, it scores 2.2 percentage points above Opus 5.5 at medium reasoning effort, at roughly a third of the cost.

GPT‑6.1 Sol also makes substantial progress on computer use and scientific research. On OSWorld 2.0’s offline set, it outperforms GPT‑6 Sol by seven percentage points at less than half the cost. On Terminal-Bench Science 0.1, it more than doubles GPT‑6 Sol’s score at less than half the cost per task. It also improves factual accuracy, reducing errors from 11.4% to 7.7% at low reasoning effort.