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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
mixtral-8x7b-instruct-v0.1
bedrock
Context32K tokens
Input Price$0.45 / 1M tokens
Output Price$0.7 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.45 / 1M tokens | $3 / 1M tokens |
| Output Price | $0.7 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 32K tokens | 256K tokens |
| Capabilities | tools | |
| Input type | text | text |
Category Scores | ||
| Overall Average | 12.3 | 71.3 |
| Academia | 15.9 | 76.4 |
| Finance | 8.8 | 81.0 |
| Marketing | 3.2 | 51.5 |
| Maths | 15.0 | 96.7 |
| Programming | 4.7 | 63.8 |
| Science | 29.2 | 87.6 |
| Writing | 9.2 | 42.2 |
Benchmark Tests | ||
| AIME | 0.0 | 94.3 |
| AA Coding Index | 4.7 | 63.8 |
| AAII | 2.6 | 65.3 |
| AA Math Index | 15.0 | 96.7 |
| GPQA | 29.2 | 87.6 |
| HLE | 4.5 | 23.9 |
| LiveCodeBench | 6.6 | 81.9 |
| MATH-500 | 29.9 | 99.0 |
| MMLU-Pro | 38.7 | 86.6 |
| SciCode | 2.8 | 45.7 |
mixtral-8x7b-instruct-v0.1 Advantages
- • Lower input token cost ($0.45 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 12.3)
- • Larger context window (256K tokens vs 32K tokens)