Model Library
MiniMaxReleased October 26, 2025MiniMax-M2
MiniMax · Released October 26, 2025
Intelligence score
28
At a glance
- Intelligence
- 28
- Speed
- 88.5tokens/sec
- Latency
- 1.96stime to first token
- Input price
- $0.30per 1M tokens
- Output price
- $1.20per 1M tokens
- Context window
- 200Ktokens
- Parameters
- 230billions
Summary
Comparison summary
MiniMax-M2 scores 28 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 25). MiniMax-M2 generates output at 88.5 tokens per second (based on MiniMax's API), which is above average compared to other open weight models of similar size (median: 61.7 t/s). MiniMax-M2 costs $0.30 per 1M input tokens (very competitive, median: $0.59) and $1.20 per 1M output tokens (better than average, median: $2.20), based on MiniMax's API.
Specifications
Technical specifications
| Model name | MiniMax-M2 |
|---|---|
| Provider | MiniMax |
| Release date | October 26, 2025 |
| Intelligence score | 28 |
| Speed | 88.5 tokens/sec |
| Latency (TTFT) | 1.96s |
| Input price | $0.30 / 1M tokens |
| Output price | $1.20 / 1M tokens |
| Context window | 200,000 tokens |
| Parameters | 230B |
| Reasoning | Yes |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: minimax-m2 |
Pricing
Token prices
Price per 1M tokens
MiniMax-M2, as listed in the catalog record
- Input$0.30
- Output$1.20
| Token type | Price per 1M |
|---|---|
| Input | $0.30 |
| Output | $1.20 |
Model Intelligence legacy profile: minimax-m2
FAQ · 20
Frequently asked questions
MiniMax-M2 was released on October 26, 2025.
MiniMax-M2 was created by MiniMax.
MiniMax-M2 scores 28 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 25).
MiniMax-M2 generates output at 88.5 tokens per second (based on MiniMax's API), which is above average compared to other open weight models of similar size (median: 61.7 t/s).
MiniMax-M2 has a time to first token (TTFT) of 1.96s (based on MiniMax's API), which is better than average compared to other open weight models of similar size (median: 2.01s).
MiniMax-M2 costs $0.30 per 1M input tokens (very competitive, median: $0.59) and $1.20 per 1M output tokens (better than average, median: $2.20), based on MiniMax's API.
MiniMax-M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens (based on MiniMax's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.39 per 1M tokens. Pricing may vary by provider.
Yes, MiniMax-M2 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
MiniMax-M2 supports text input.
MiniMax-M2 supports text output.
No, MiniMax-M2 does not support image input. It can only process text.
No, MiniMax-M2 is not multimodal. It only supports text input.
MiniMax-M2 has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, MiniMax-M2 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
MiniMax-M2 has 230 billion parameters (10 billion active).
MiniMax-M2 is a Mixture of Experts (MoE) model with 230 billion total parameters, but only 10 billion active parameters are used during inference.
MiniMax-M2 is released under the MIT license. This license allows commercial use.
MiniMax-M2 achieves a score of 28 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, MiniMax-M2 is available via API through 4 providers.
MiniMax-M2 is available through 4 API providers.