MiniMax-M3.1-Flash
A faster, cheaper open-weight sibling that keeps the million-token context while optimizing for latency and throughput.
At a glance
Released
Aug 20, 2026
Provider
MiniMax
Context window
1,000,000 tokens
Max output
16,000 tokens
Modalities
Text → text
Knowledge cutoff
February 2026
API model ID
minimax-m3.1-flashLicense
Open weights (MiniMax Model License)
Pricing
Standard
Input$0.14 / 1M
Output$0.55 / 1M
A typical 1,500-token prompt with a 650-token answer costs ≈ $0.0006 on the standard tier. Run your own prompt through the calculator →
What's new vs the previous model
Compared withMiniMax-M3 (June 2026)
- Lower latency and cheaper serving than M3
- Retains the full long-context window
- Reduced peak reasoning and dropped image input
Best use cases
Fast long-context chat
Handles big contexts interactively without the flagship's cost.
High-volume agents
Runs many concurrent agent sessions economically.
Bulk summarization
Condenses large document sets quickly at scale.
Strengths & limitations
Strengths
- Long context
- Fast and cheap
- Open weights
Limitations
- Text only
- Below M3 on hardest tasks
How to test it
- No-code: open chat.minimax.io and pick MiniMax-M3.1-Flash from the model switcher — no API key needed.
- Playground: sign in to the MiniMax Open Platform and run prompts in the workbench, then copy the generated code.
- API: create a key in the MiniMax Open Platform and call the API (example below).
curl https://api.minimax.io/v1/chat/completions \
# OpenAI-compatible endpoint
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax-m3.1-flash",
"messages": [{"role": "user", "content": "Explain tokenization in one paragraph."}]
}'Where to get access
Developer docs
API reference, SDKs and quickstarts for MiniMax.
platform.minimax.io/document/introduction ↗