MiniMax-M2 Chat vs MiniMax-M2 Instruct: which model should you choose?
We compared MiniMax-M2 Chat and MiniMax-M2 Instruct on price, context window and 12 benchmarks. MiniMax-M2 Chat has the stronger average benchmark score; MiniMax-M2 Chat is cheaper on a blended 3:1 basis.
MiniMax-M2 Chat
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.
- Input
- $5.02 / 1M
- Output
- $18.95 / 1M
- Context
- 200,000
- Avg score
- 80.2
- Open weights
- Yes
MiniMax-M2 Instruct
MiniMax-M2 Instruct is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $5.11 per million input tokens and $25.04 per million output tokens, and averages 79.4 across the index's benchmark suite.
- Input
- $5.11 / 1M
- Output
- $25.04 / 1M
- Context
- 128,000
- Avg score
- 79.4
- Open weights
- Yes
Specification comparison
| Spec | MiniMax-M2 Chat | MiniMax-M2 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $5.02 | $5.11 | A |
| Output price / 1M | $18.95 | $25.04 | A |
| Context window | 200,000 | 128,000 | A |
| Max output | 8,192 | 4,096 | A |
| Average score | 80.2 | 79.4 | A |
| Arena Elo | 1443.0 | 1442.2 | A |
| Open weights | Yes | Yes | Tie |
Benchmark comparison
MiniMax-M2 Chat wins 8, MiniMax-M2 Instruct wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | MiniMax-M2 Chat | MiniMax-M2 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.3 | 82.1 | 2.2 | MiniMax-M2 Chat |
| GPQA Diamond | 77.8 | 73.7 | 4.1 | MiniMax-M2 Chat |
| SWE-bench Verified | 66.4 | 69.9 | 3.5 | MiniMax-M2 Instruct |
| HumanEval | 84.2 | 86.7 | 2.5 | MiniMax-M2 Instruct |
| MATH-500 | 86.0 | 82.1 | 3.9 | MiniMax-M2 Chat |
| AIME 2025 | 78.3 | 77.8 | 0.5 | MiniMax-M2 Chat |
| LiveCodeBench | 70.4 | 71.1 | 0.7 | MiniMax-M2 Instruct |
| IFEval | 88.0 | 87.3 | 0.7 | MiniMax-M2 Chat |
| TruthfulQA | 80.3 | 80.0 | 0.3 | MiniMax-M2 Chat |
| HellaSwag | 87.8 | 88.5 | 0.7 | MiniMax-M2 Instruct |
| MMMU | 79.2 | 74.1 | 5.1 | MiniMax-M2 Chat |
| Arena Elo | 1443.0 | 1442.2 | 0.8 | MiniMax-M2 Chat |
Price analysis
On a blended 3:1 input-to-output basis, MiniMax-M2 Chat costs about $8.50 per million tokens and MiniMax-M2 Instruct costs about $10.09. MiniMax-M2 Chat is roughly 16% cheaper than MiniMax-M2 Instruct. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
MiniMax-M2 Chat has the larger context window at 200,000 tokens, compared with 128,000 for MiniMax-M2 Instruct. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, MiniMax-M2 Chat wins 8, MiniMax-M2 Instruct wins 4, and 0 are tied. On the index average, MiniMax-M2 Chat leads MiniMax-M2 Instruct by 0.8 points (80.2 versus 79.4).
The price picture favours MiniMax-M2 Chat. The context picture favours MiniMax-M2 Chat. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with MiniMax-M2 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose MiniMax-M2 Chat if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 200,000-token context window.
- You need the larger 8,192-token output limit.
Choose MiniMax-M2 Instruct if
- You prefer MiniMax's tooling or already use it.
FAQ
Is MiniMax-M2 Chat better than MiniMax-M2 Instruct?
On the index average, MiniMax-M2 Chat leads MiniMax-M2 Instruct by 0.8 points (80.2 versus 79.4). The better choice depends on price, context and your task. MiniMax-M2 Chat wins 8 benchmarks, MiniMax-M2 Instruct wins 4.
Which is cheaper, MiniMax-M2 Chat or MiniMax-M2 Instruct?
MiniMax-M2 Chat is cheaper on a blended 3:1 basis at about $8.50 per million tokens, versus $10.09 for MiniMax-M2 Instruct.
Which has the larger context window?
MiniMax-M2 Chat has the larger context window at 200,000 tokens. MiniMax-M2 Instruct has 128,000 tokens.
Are these models open weights?
MiniMax-M2 Chat is open weights; MiniMax-M2 Instruct is open weights.
Which should I choose for production?
If you need a single default, start with MiniMax-M2 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.