Tasks and inputs
GPT-6 Sol is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
GPT-6 Sol is a reasoning model for coding and agent workflows, with text and image input and text output.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
GPT-6 Sol is a reasoning model for coding and agent workflows, with text and image input and text output.
Sol remains useful as a migration baseline when an application already has measured results for it. Compare it with GPT-6.1 Sol on the same issues, tools and retry policy before changing a production route. A newer model name does not make an existing evaluation unnecessary.
Use the Responses API for built-in tools and reasoning tool workflows. Chat Completions function calling is supported only when reasoning_effort is none. Check this distinction before reusing an older client wrapper.
The documented context allowance is 1,050,000 tokens, with up to 128,000 output tokens. Standard rates for prompts up to 272,000 input tokens are $2 input and $10 output per million tokens. Longer prompts use higher rates across the request; cache writes, processing tiers and regional options can also change the bill.
Keep representative tasks, expected outcomes and failure cases together. Measure total cost to an accepted result, time to completion and the work a person must redo. Compare a smaller route before assigning every request to the same model. Explore OpenAI models or compare two candidates.
Compare the model on the work you need to complete.
GPT-6 Sol is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 1.05M context and 128K maximum output. The listed route charges $2.00 input and $10.00 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Anthropic
Claude’s small model for high-volume extraction, classification and routing, with adaptive thinking and a 1M-token context window.
Mistral AI
Mistral Large 4 is an open-weight multimodal model released in public preview on the publisher’s announced release, for general reasoning, coding and agent applications.
OpenAI
GPT-6.1 Sol is OpenAI's updated Sol model for coding and professional tasks. It accepts text and images and returns text.
inclusionAI
Ling 3.1 Flash is inclusionAI’s hybrid reasoning model for coding and tool agents, available through a hosted AI Gateway route.
Anthropic
Claude Sonnet 5.5 is an Anthropic language model that accepts text and images and returns text.
MiniMax
MiniMax M3.1 Flash Preview is a multimodal reasoning model for code and agent workflows, accessed through eligible MiniMax plans and tools.