# OpenAI releases GPT-6.1 Sol for agentic coding and computer use

The model costs $2 per million input tokens, $10 per million output tokens, and $0.10 per million cached input tokens.

- Achieves 75.2% on DeepSWE v1.1 at high reasoning effort at approximately 76% lower cost per task than GPT-6 Sol.
- Scores 71.4% on the OSWorld 2.0 offline benchmark compared to Astra's 73.5%, at roughly one-seventh the cost per task.
- Scores 31.7% on AutomationBench at medium reasoning effort, up 4.8 percentage points from GPT-6 Sol.
- Reduces factual error rates by about 32% compared to GPT-6 Sol on difficult prompts at low reasoning effort.

## Why it matters

Developers building agentic coding workflows and computer-use tools get higher benchmark performance alongside lower context-caching costs.

## Sources

- [OpenAI: OpenAI releases GPT-6.1 Sol for agentic coding and computer use](https://x.com/OpenAIDevs/status/2104993035507712318)

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Summarized by dstilled on 2026-09-29. https://dstilled.ai/story/9e2520af-ff55-4dad-bf5d-cdbfcea840be