An OpenAI reasoning model for complex coding, professional work, and long-context text-and-image analysis.
Use openai/gpt-6.1-sol through the sjolt LLM API.
openai/gpt-6.1-solToken rates
openai/gpt-6.1-solSimilar Models
An Anthropic model for careful coding, long-document analysis, and visual understanding with optional adaptive thinking.
An Anthropic model for coding, long-context knowledge work, and visual understanding with adaptive thinking.
An Anthropic model for responsive coding, long-document analysis, and text-and-image understanding with adaptive thinking.
Model overview
Connect code, documents, and images in a deliberate reasoning workflow. The artwork illustrates these workflows; it is not image output from GPT-6.1 Sol.
Provide the relevant code, the expected behavior, and verification criteria. Ask for a focused implementation or review, then refine it using concrete results.
Bring up to 1,050,000 context tokens into a connected analysis of documents and repositories. Identify the source material and separate confirmed facts from assumptions.
Include screenshots, diagrams, or other images alongside a specific question. The model returns text that can explain visual evidence and connect it to your written context.
Model characteristics
Coding, multi-step reasoning, and professional work with text and image inputs.
Up to 1,050,000 context tokens.
The model supports up to 128,000 output tokens, including reasoning.
Reasoning stays enabled. Select low, medium, high, xhigh, max; medium is the default.
FAQ
Use it for coding, document analysis, visual reasoning, and complex professional tasks. State the goal, constraints, relevant evidence, and expected response structure.
Yes. Attach images in the Playground or send native image blocks through Chat Completions or Responses. Responses are text; native image fields are forwarded for upstream validation.
Select low, medium, high, xhigh, max. Reasoning stays enabled, with medium as the Playground default.
The model supports 1,050,000 context tokens and up to 128,000 output tokens. Input and generated reasoning share the available context with the final answer.
Use model openai/gpt-6.1-sol through OpenAI-compatible Chat Completions or Responses. Use Responses for application tool workflows. Both protocols accept streaming and non-streaming requests.
Include previous response items in the next input. Preserve reasoning.encrypted_content unchanged with the conversation and application tool results.