MiniMax M3.1 Flash
A multimodal model with downloadable weights for coding, visual understanding and long-context agent workflows.
OpenAI’s model for visual reasoning, computer use, clear writing and scoped coding tasks.
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GPT-6.1 Terra is an OpenAI model that accepts text and images and returns text. Its documented tasks include interpreting technical drawings, matching product photos with catalog entries, understanding application screens and revising written material.
OpenAI recommends considering Terra for concise writing from supplied material, computer tasks with defined outcomes and scoped code fixes. Developers can integrate it through the API; eligible subscribers can also select it in ChatGPT Work and Codex.
Combine image inputs with instructions to interpret drawings, product photographs and screens.
Choose none, low, medium, high, xhigh or max reasoning effort. Medium is the default.
Responses API integrations can use computer use, web search, file search, code interpreter, hosted shell and MCP.
Streaming, function calling and structured outputs support integration into applications.
The model supports a 1,050,000-token context window and up to 128,000 output tokens.
A catalog manager could compare supplier photographs with existing product entries.
An editor could turn supplied notes into a concise draft for a defined audience.
A programmer could request a focused code fix with clear requirements and regression checks.
API usage is metered by tokens, with pricing differences for processing mode, context length and caching. Tools can carry additional charges. API usage is billed separately from ChatGPT Work and Codex subscription access. Terra is available in those products on eligible Plus, Pro, Business, Enterprise and Edu plans.
Check current pricing ↗Choose GPT-6.1 Terra from the model list in Advanced on desktop or the web. Work also supports Terra on mobile, subject to plan and workspace access.
Use representative tasks with clear requirements. For writing, assess audience fit, voice, useful detail and accuracy; for code changes, verify the result with appropriate checks.