MiniMax M3.1 Flash prompt guide
API and integration
11 source-checked resourcesMultimodal and Streaming Configuration for MiniMax M3.1 Flash's OpenAI-Compatible API
MiniMax's OpenAI-compatible Chat Completions API provides image and video content parts for MiniMax-M3.1-Flash; streaming responses put incremental reasoning in reasoningcontent and the main response in content, with fixed reasoning, sampling, and input limits.
MiniMax M3.1-Flash text generation and model configuration
MiniMax-M3.1-Flash targets agents, tool calling, coding, and long-context tasks. Text generation is available through Anthropic-compatible or OpenAI-compatible APIs, with effort / reasoningeffort controlling adaptive thinking depth.
MiniMax M3.1-Flash official tool-calling and interleaved-thinking workflow
MiniMax-M3.1-Flash supports interleaved thinking between each round of tool interaction. The application must put the model's complete assistant message, including thinking / reasoningcontent and tool-calling fields, back into the history before submitting the.
MiniMax-M3.1-Flash Anthropic Protocol and Adaptive Reasoning Configuration
MiniMax-M3.1-Flash's Anthropic-compatible API supports text, image, video, tool, and thinking content blocks, and uses outputconfig.effort to adjust reasoning depth; the model always has thinking enabled and cannot turn it off.
MiniMax-M3.1-Flash Claude Code Manual Setup and Model Verification
Option 2 on the official Claude Code integration page writes the Anthropic-compatible endpoint, Subscription Key, 512K automatic compaction window, and the MiniMax-M3.1-Flash[1m] model alias into ~/.claude/settings.json, then uses /status and /model for verifi.
MiniMax M3.1-Flash Codex Manual Setup and Model Catalog Configuration
The official Codex integration page's Manual setup uses the Responses API and writes MiniMax-M3.1-Flash to ~/.codex/config.toml; the optional model catalog exposes low, medium, high, xhigh, and max to /model, and explicitly prohibits none.
MiniMax-M3.1-Flash OpenCode Integration: Manual Setup and Thinking Context Boundaries
The official MiniMax documentation provides the login steps for selecting MiniMax-M3.1-Flash in OpenCode and the manual opencode.json configuration; the example sets the client context to 524288 tokens while stating that the model itself supports up to 1M toke.
MiniMax-M3.1-Flash Cursor Integration and Configuration Verification
The official Cursor integration page requires clearing OPENAIAPIKEY and OPENAIBASEURL first, then enabling the global OpenAI Base URL override under Cursor's Models → API Keys, entering https://api.minimax.io/v1 and the MiniMax Subscription Key, and finally ad.
MiniMax M3.1-Flash prompt caching and cost observations
The MiniMax API automatically detects repeated context and caches it through prefix matching. M3.1-Flash can use this mechanism directly, but the page does not publish a cache TTL, invalidation rules, or specific rates. Costs should be calculated from the toke.
MiniMax-M3.1-Flash Integration with OpenClaw and Model Selection Configuration
MiniMax's official OpenClaw page provides an M Plan OAuth wizard: select the MiniMax provider and MiniMax Global — OAuth (minimax.io), then set the exact model MiniMax-M3.1-Flash as the default; the page does not publish an OpenClaw provider ID, API Base URL, .
MiniMax-M3.1-Flash Dify and LangChain Integration Configuration
The same official MiniMax integration page provides Minimax plugin settings for Dify and langchain-openai OpenAI-compatible adapter settings for LangChain. Both use the exact model ID MiniMax-M3.1-Flash, but their API Base values are different: an Anthropic-co.
MiniMax M3.1 Flash
Use in Tabbit
Curated prompt patterns, model settings, and practical examples for MiniMax M3.1 Flash, with the original source attached to every entry.