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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $15 / 1M tokens | $3 / 1M tokens |
| Output Price | $60 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 64.8 | 71.3 |
| Academia | 61.8 | 76.4 |
| Finance | 66.0 | 81.0 |
| Marketing | 57.1 | 51.5 |
| Maths | 84.7 | 96.7 |
| Programming | 51.9 | 63.8 |
| Science | 76.4 | 87.6 |
| Vision | 77.6 | N/A |
| Writing | 43.0 | 42.2 |
Benchmark Tests | ||
| AIME | 72.3 | 94.3 |
| AA Coding Index | 51.9 | 63.8 |
| AAII | 47.2 | 65.3 |
| AA Math Index | 84.7 | 96.7 |
| GPQA | 76.4 | 87.6 |
| HLE | 7.7 | 23.9 |
| HumanEval | 88.1 | _ |
| LiveCodeBench | 67.9 | 81.9 |
| MATH-500 | 97.0 | 99.0 |
| MMLU | 91.8 | _ |
| MMLU-Pro | 84.1 | 86.6 |
| MMMU | 77.6 | _ |
| SciCode | 35.8 | 45.7 |
o1 Advantages
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 64.8)
- • Lower input token cost ($3 / 1M tokens vs $15 / 1M tokens)
- • Larger context window (256K tokens vs 200K tokens)