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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
minimax-m1
openrouter
Context1M tokens
Input Price$0.42 / 1M tokens
Output Price$1.93 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.42 / 1M tokens | $2 / 1M tokens |
| Output Price | $1.93 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 1047576 tokens |
| Capabilities | tools | |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 45.4 | 52.2 |
| Academia | 54.9 | 54.9 |
| Finance | 27.6 | 39.0 |
| Marketing | 55.6 | 59.0 |
| Maths | 13.7 | 34.7 |
| Science | 66.4 | 66.1 |
| Writing | 54.4 | 56.6 |
| Programming | N/A | 32.2 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 81.3 | 43.7 |
| AA Coding Index | _ | 32.2 |
| AAII | 41.6 | 43.4 |
| AA Math Index | 13.7 | 34.7 |
| GPQA | 68.2 | 66.5 |
| HLE | 7.5 | 4.6 |
| LiveCodeBench | 65.7 | 45.7 |
| MATH-500 | 97.2 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 80.8 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 37.8 | 38.1 |
minimax-m1 Advantages
- • Lower input token cost ($0.42 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (52.2 vs 45.4)
- • Larger context window (1047576 tokens vs 1M tokens)