LLM Perks

MiniMax M3.1 Flash

Free right now Frontier New
ReasoningCodingTool useLong contextOpen weights

MiniMax M3.1 Flash is a language model from MiniMax. It is currently free at 3 providers with up to 1M tokens of context. The model supports step-by-step reasoning, is suited to coding, supports tool calling. Its weights are open, so it can also run locally.

Developer
MiniMax
Context
1M tokens
Type
Text
License
Open weights
Free since
October 19, 2026

Where to use MiniMax M3.1 Flash for free

Each row is a separate free endpoint with its own limits.

ProviderContextLimitCard
OpenRouter
minimax/minimax-m3.1-flash:free
1M Free tier No Open
TokenRouter
minimax/minimax-m3.1-flash:free
— Free models and promotional access may be time-limited; availability is checked through the Models API. — Open
OpenCode Zen
minimax-m3.1-flash-free
— Free models are available for a limited time; prompts may be used to improve the model. — Open

Quick start

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax/minimax-m3.1-flash:free",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Example for OpenRouter. Any OpenAI-compatible client works: Cursor, Cline, OpenCode, Open WebUI.

Benchmarks

This model is not on the Artificial Analysis leaderboard yet. We do not publish our own estimates.

Similar free models

FAQ

Is MiniMax M3.1 Flash free?

Yes. As of October 19, 2026, MiniMax M3.1 Flash is free at OpenRouter, TokenRouter, OpenCode Zen. Each provider has its own limits — see the table above.

What is the context window of MiniMax M3.1 Flash?

The largest context among free routes is 1,000,000 tokens. Some providers cap it lower.

How do I call MiniMax M3.1 Flash via API?

Use any OpenAI-compatible client with base URL https://openrouter.ai/api/v1, model ID minimax/minimax-m3.1-flash:free, and a OpenRouter key.

Is MiniMax M3.1 Flash open-weight?

Yes, the weights are published — you can download and run it locally, for example with Ollama or LM Studio.