GPT-6.1 Sol

GPT-6.1 Sol is a model from OpenAI for complex coding, computer use, and professional work, offering near-Astra performance at a lower cost. It is part of the gpt-sol line. It has a context window of 1,050,000 tokens and a maximum output of 128,000 tokens. It accepts image, PDF, and text inputs, and returns text. It supports reasoning mode and tool calling. The weights are not open. Pricing starts at $2.00 per million input tokens and $10.00 per million output tokens, with cached input at $0.10 per million tokens.

Against GPT-6 Sol: input $1.60 to $2.00, output $8.00 to $10.00, cached input $0.16 to $0.10.

Range across the hosts that serve it: up to $4.00 per 1M input tokens.

• ·Handles complex coding tasks
• ·Supports computer use
• ·Processes image, PDF, and text inputs
• ·Offers 1.05M token context window
• ·Provides 128K token output limit

• Reach for it for complex coding projects
• Reach for it for computer use automation
• Reach for it for professional work requiring large context
• Reach for it for multimodal document analysis

18 hosts serve this model at the price above · the maker's documentation

• 8[AINews] not much happened today2026-10-04
• 8GPT-6.1 Sol (Max) Enters Agent Arena at Rank 5, Approaching Top Models at Lower Cost2026-10-03
• 8Artificial Analysis: Claude Sonnet 5.5, GPT-6.1 Sol and Gemini 4 Argon Top Coding Agent Index but Costs Vary2026-10-02
• 8OpenAI DevDay 2026 live blog2026-09-30
• 8OpenAI launches GPT-6.1 Sol, says it nearly matches GPT-6 Astra and costs less2026-09-30

5 signals of the archive mention this model, each scored against the published bar. This list is rebuilt from the archive at every build, so it cannot go stale.

The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.

What is the context window?

The context window is 1,050,000 tokens.

What is the price?

Pricing starts at $2.00 per million input tokens and $10.00 per million output tokens. Cached input is $0.10 per million tokens.

Does it support tool calling and reasoning?

Yes, it supports both reasoning mode and tool calling.