MiniMax-M2 Chat: pricing, context window and benchmarks
MiniMax-M2 Chat is a multimodal model from MiniMax. It offers a 200,000-token context window, costs $5.02 per million input tokens and $18.95 per million output tokens, and averages 80.2 across the index's benchmark suite.
Pricing
MiniMax-M2 Chat costs $5.02 per million input tokens and $18.95 per million output tokens. A blended 3:1 input-to-output mix works out to about $8.50 per million tokens. Cached input is listed at $0.55 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $5.02 | per 1M tokens |
| Output | $18.95 | per 1M tokens |
| Cached input | $0.55 | per 1M tokens |
| Blended 3:1 | $8.50 | estimate per 1M tokens |
| 1M in + 1M out | $23.97 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 84.3 | 75 | 88th | |
| GPQA Diamond | 77.8 | 91 | 85th | |
| SWE-bench Verified | 66.4 | 182 | 70th | |
| HumanEval | 84.2 | 128 | 79th | |
| MATH-500 | 86.0 | 93 | 85th | |
| AIME 2025 | 78.3 | 109 | 82th | |
| LiveCodeBench | 70.4 | 184 | 69th | |
| IFEval | 88.0 | 102 | 83th | |
| TruthfulQA | 80.3 | 172 | 71th | |
| HellaSwag | 87.8 | 151 | 75th | |
| MMMU | 79.2 | 70 | 88th | |
| Arena Elo | 1443.0 | 93 | 85th |
What MiniMax-M2 Chat is good for
MiniMax-M2 Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $5.02 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Command A Reasoning | Cohere | 400000 | $13.74 | 80.2 |
| DeepSeek-V3.2 Base | DeepSeek | 128000 | $5.05 | 80.2 |
| Doubao 1.5 Pro Pro | ByteDance | 128000 | $14.10 | 80.2 |
| GLM-4.6 | Zhipu AI | 128000 | $5.10 | 80.2 |
| Kimi K1.5 Chat | Moonshot AI | 128000 | $5.11 | 80.2 |
| MiniMax-M2 Chat | MiniMax | 200000 | $5.02 | 80.2 |
FAQ
How much does MiniMax-M2 Chat cost?
MiniMax-M2 Chat is listed at $5.02 per million input tokens and $18.95 per million output tokens. Cached input is $0.55 per million tokens. A blended 3:1 input-to-output mix is about $8.50 per million tokens.
What is the context window of MiniMax-M2 Chat?
MiniMax-M2 Chat has a context window of 200,000 tokens and can emit up to 8,192 output tokens per request in this index.
Is MiniMax-M2 Chat open weights?
Yes. MiniMax-M2 Chat is listed as an open-weight model under a open weights licence.
How does MiniMax-M2 Chat score on benchmarks?
MiniMax-M2 Chat averages 80.2 across the scored benchmarks in this index, ranking #117 of 600 models. Its strongest relative result is Arena Elo at 1443.0.
What is MiniMax-M2 Chat best for?
MiniMax-M2 Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $5.02 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.