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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $20 / 1M tokens | $3 / 1M tokens |
| Output Price | $80 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 75.4 | 71.3 |
| Academia | 74.9 | 76.4 |
| Marketing | 65.3 | 51.5 |
| Science | 84.5 | 87.6 |
| Writing | 76.8 | 42.2 |
| Finance | N/A | 81.0 |
| Maths | N/A | 96.7 |
| Programming | N/A | 63.8 |
Benchmark Tests | ||
| AIME | _ | 94.3 |
| AA Coding Index | _ | 63.8 |
| AAII | 65.3 | 65.3 |
| AA Math Index | _ | 96.7 |
| GPQA | 84.5 | 87.6 |
| HLE | _ | 23.9 |
| LiveCodeBench | _ | 81.9 |
| MATH-500 | _ | 99.0 |
| MMLU-Pro | _ | 86.6 |
| SciCode | _ | 45.7 |
o3-pro Advantages
- • Higher benchmark scores (75.4 vs 71.3)
grok-4 Advantages
- • Lower input token cost ($3 / 1M tokens vs $20 / 1M tokens)
- • Larger context window (256K tokens vs 200K tokens)