gpt-6-sol

GPT-6 Sol is a high-performance reasoning model in OpenAI’s GPT-6 family, designed for complex coding and agentic workflows. It balances capability, speed, and cost, making it suitable for software development, cross-file modifications, debugging, technical research, business analysis, and automated tasks that require multi-step planning and tool use. The model has an approximately 1.05 million-token context window and can generate up to 128,000 tokens in a single response, enabling it to handle large codebases, long documents, and complex conversation histories. It supports text and image input with text output, and can use function calling, web search, file search, code interpreter, hosted shell, computer use, and MCP through the Responses API. Reasoning effort can be configured as none, low, medium, high, xhigh, or max, with medium as the default, allowing users to balance response speed, cost, and quality based on task complexity. It is well suited for enterprise applications that require strong reasoning and agentic capabilities at a lower cost than the flagship Astra model.

Context

1050000 tokens

Max output

128000 tokens

Input

llm image

Output

llm