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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
codestral-2508
mistralai
Context256K tokens
Input Price$0.3 / 1M tokens
Output Price$0.9 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.3 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.9 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 256K tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 29.6 | 53.4 |
| Academia | 22.2 | 54.9 |
| Marketing | 35.1 | 59.0 |
| Programming | 24.5 | 41.9 |
| Science | 33.4 | 66.1 |
| Writing | 32.6 | 56.6 |
| Finance | N/A | 39.0 |
| Maths | N/A | 34.7 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 4.3 | 43.7 |
| AA Coding Index | 24.5 | 41.9 |
| AAII | 13.2 | 43.4 |
| AA Math Index | _ | 34.7 |
| GPQA | 31.2 | 66.5 |
| HLE | 4.5 | 4.6 |
| LiveCodeBench | 24.3 | 45.7 |
| MATH-500 | 60.7 | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | 44.6 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 24.7 | 38.1 |
codestral-2508 Advantages
- • Lower input token cost ($0.3 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (53.4 vs 29.6)
- • Larger context window (1047576 tokens vs 256K tokens)