MiniMax
Open-weight multimodal models built for long agent runs.
MiniMax publishes open weights for its M-series models, which are aimed at long-horizon agentic work and coding. The current M3 takes text, images and video with a million-token context, and the older M2 models are still around and cheaper. A solid middle option: more capable than the tiny Flash models, far cheaper than a frontier API, and you can host it yourself if you need to.
At a glance — MiniMax M2
- Cost
- $0.30 in · $1.20 out per 1M tokensBudget
- Memory
- 205K tokens — about 300 pages
- Reads
- Text
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Reliability
- 100.00% uptime, last 24h
- Released
- Oct 23, 2025
Advanced details
- API model ID
minimax/minimax-m2- Max output
- 177K tokens
- Tokenizer
- Other
Providers
The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.
| Provider | Input /1M | Output /1M | Cached /1M | Max output | Uptime 24h |
|---|---|---|---|---|---|
| Minimax · fp8 | $0.255 | $1.02 | — | 131K | 100.00% |
| $0.30 | $1.20 | — | 177K | 99.74% | |
| Novita · fp8 | $0.30 | $1.20 | $0.03 | 131K | 100.00% |
Supported parameters
- frequency_penalty
- include_reasoning
- logprobs
- max_tokens
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly.
Key info
- Pricing
- Open source
- Category
- Models
- Best for
- Expert
- Made by
- MiniMax
- Weights
- Open
- Good for
- Agentic work over a long context