MiniMax-M2 vs MiniMax-M2 Instruct: which model should you choose?
We compared MiniMax-M2 and MiniMax-M2 Instruct on price, context window and 12 benchmarks. MiniMax-M2 has the stronger average benchmark score; MiniMax-M2 is cheaper on a blended 3:1 basis.
MiniMax-M2
MiniMax-M2 is a multimodal model from MiniMax. It offers a 200,000-token context window, costs $5.19 per million input tokens and $22.73 per million output tokens, and averages 80.6 across the index's benchmark suite.
- Input
- $5.19 / 1M
- Output
- $22.73 / 1M
- Context
- 200,000
- Avg score
- 80.6
- 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 | MiniMax-M2 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $5.19 | $5.11 | B |
| Output price / 1M | $22.73 | $25.04 | A |
| Context window | 200,000 | 128,000 | A |
| Max output | 65,536 | 4,096 | A |
| Average score | 80.6 | 79.4 | A |
| Arena Elo | 1423.8 | 1442.2 | B |
| Open weights | Yes | Yes | Tie |
Benchmark comparison
MiniMax-M2 wins 8, MiniMax-M2 Instruct wins 3, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | MiniMax-M2 | MiniMax-M2 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 82.1 | 0.3 | MiniMax-M2 Instruct |
| GPQA Diamond | 75.4 | 73.7 | 1.7 | MiniMax-M2 |
| SWE-bench Verified | 69.9 | 69.9 | 0.0 | Tie |
| HumanEval | 88.0 | 86.7 | 1.3 | MiniMax-M2 |
| MATH-500 | 82.3 | 82.1 | 0.2 | MiniMax-M2 |
| AIME 2025 | 78.1 | 77.8 | 0.3 | MiniMax-M2 |
| LiveCodeBench | 73.4 | 71.1 | 2.3 | MiniMax-M2 |
| IFEval | 86.1 | 87.3 | 1.2 | MiniMax-M2 Instruct |
| TruthfulQA | 83.5 | 80.0 | 3.5 | MiniMax-M2 |
| HellaSwag | 90.4 | 88.5 | 1.9 | MiniMax-M2 |
| MMMU | 78.0 | 74.1 | 3.9 | MiniMax-M2 |
| Arena Elo | 1423.8 | 1442.2 | 18.4 | MiniMax-M2 Instruct |
Price analysis
On a blended 3:1 input-to-output basis, MiniMax-M2 costs about $9.57 per million tokens and MiniMax-M2 Instruct costs about $10.09. MiniMax-M2 is roughly 5% 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 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 wins 8, MiniMax-M2 Instruct wins 3, and 1 are tied. On the index average, MiniMax-M2 leads MiniMax-M2 Instruct by 1.2 points (80.6 versus 79.4).
The price picture favours MiniMax-M2. The context picture favours MiniMax-M2. 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 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose MiniMax-M2 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 65,536-token output limit.
Choose MiniMax-M2 Instruct if
- You prefer MiniMax's tooling or already use it.
FAQ
Is MiniMax-M2 better than MiniMax-M2 Instruct?
On the index average, MiniMax-M2 leads MiniMax-M2 Instruct by 1.2 points (80.6 versus 79.4). The better choice depends on price, context and your task. MiniMax-M2 wins 8 benchmarks, MiniMax-M2 Instruct wins 3.
Which is cheaper, MiniMax-M2 or MiniMax-M2 Instruct?
MiniMax-M2 is cheaper on a blended 3:1 basis at about $9.57 per million tokens, versus $10.09 for MiniMax-M2 Instruct.
Which has the larger context window?
MiniMax-M2 has the larger context window at 200,000 tokens. MiniMax-M2 Instruct has 128,000 tokens.
Are these models open weights?
MiniMax-M2 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 for quality-sensitive work, and check whether its price holds at your expected volume before committing.