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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $2 / 1M tokens | $3 / 1M tokens |
| Output Price | $8 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 70.4 | 71.3 |
| Academia | 74.1 | 76.4 |
| Finance | 80.0 | 81.0 |
| Marketing | 50.1 | 51.5 |
| Maths | 94.8 | 96.7 |
| Programming | 59.7 | 63.8 |
| Science | 83.0 | 87.6 |
| Vision | 82.9 | N/A |
| Writing | 38.6 | 42.2 |
Benchmark Tests | ||
| AIME | 90.3 | 94.3 |
| AA Coding Index | 59.7 | 63.8 |
| AAII | 65.2 | 65.3 |
| AA Math Index | 94.8 | 96.7 |
| GPQA | 83.0 | 87.6 |
| HLE | 20.0 | 23.9 |
| LiveCodeBench | 78.4 | 81.9 |
| MATH-500 | 99.2 | 99.0 |
| MMLU-Pro | 85.3 | 86.6 |
| MMMU | 82.9 | _ |
| SciCode | 41.0 | 45.7 |
o3 Advantages
- • Lower input token cost ($2 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 70.4)
- • Larger context window (256K tokens vs 200K tokens)