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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 | 1047576 tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 57.5 | 71.9 |
| Academia | 56.6 | 77.5 |
| Finance | 57.1 | 82.1 |
| Marketing | 55.7 | 53.0 |
| Maths | 67.5 | 96.7 |
| Programming | 41.9 | 63.8 |
| Science | 66.5 | 87.6 |
| Vision | 74.8 | N/A |
| Writing | 39.5 | 42.5 |
Benchmark Tests | ||
| AIME | 43.7 | 94.3 |
| AA Coding Index | 41.9 | 63.8 |
| AAII | 46.8 | 67.5 |
| AA Math Index | 67.5 | 96.7 |
| GPQA | 66.5 | 87.6 |
| HLE | 4.6 | 23.9 |
| LiveCodeBench | 45.7 | 81.9 |
| MATH-500 | 91.3 | 99.0 |
| MMLU | 90.2 | _ |
| MMLU-Pro | 80.6 | 86.6 |
| MMMU | 74.8 | _ |
| SciCode | 38.1 | 45.7 |
gpt-4.1 Advantages
- • Lower input token cost ($2 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1047576 tokens vs 256K tokens)
grok-4 Advantages
- • Higher benchmark scores (71.9 vs 57.5)