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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
mistral-saba
mistralai
Context32768 tokens
Input Price$0.2 / 1M tokens
Output Price$0.6 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.2 / 1M tokens | $3 / 1M tokens |
| Output Price | $0.6 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 32768 tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text | text |
Category Scores | ||
| Overall Average | 42.2 | 75.5 |
| Academia | 31.0 | 76.4 |
| Marketing | 48.4 | 69.1 |
| Science | 45.4 | 80.1 |
| Writing | 44.1 | 67.6 |
| Finance | N/A | 79.0 |
| Maths | N/A | 92.7 |
| Programming | N/A | 63.8 |
Benchmark Tests | ||
| AIME | 13.0 | 94.3 |
| AA Coding Index | _ | 63.8 |
| AAII | 19.6 | 65.3 |
| AA Math Index | _ | 92.7 |
| GPQA | 42.4 | 87.6 |
| HLE | 4.1 | 23.9 |
| LiveCodeBench | _ | 81.9 |
| MATH-500 | 67.7 | 99.0 |
| MMLU-Pro | 61.1 | 86.6 |
| SciCode | 24.1 | 45.7 |
mistral-saba Advantages
- • Lower input token cost ($0.2 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (75.5 vs 42.2)
- • Larger context window (256K tokens vs 32768 tokens)