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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.25 / 1M tokens | $3 / 1M tokens |
| Output Price | $10 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 400K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 71.0 | 71.9 |
| Academia | 77.2 | 77.5 |
| Finance | 83.3 | 82.1 |
| Marketing | 54.8 | 53.0 |
| Maths | 97.5 | 96.7 |
| Programming | 54.9 | 63.8 |
| Science | 85.4 | 87.6 |
| Writing | 43.9 | 42.5 |
Benchmark Tests | ||
| AIME | 95.7 | 94.3 |
| AA Coding Index | 54.9 | 63.8 |
| AAII | 69.0 | 67.5 |
| AA Math Index | 97.5 | 96.7 |
| GPQA | 85.4 | 87.6 |
| HLE | 26.5 | 23.9 |
| LiveCodeBench | 66.8 | 81.9 |
| MATH-500 | 99.4 | 99.0 |
| MMLU-Pro | 87.1 | 86.6 |
| SciCode | 42.9 | 45.7 |
gpt-5 Advantages
- • Lower input token cost ($1.25 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (400K tokens vs 256K tokens)
grok-4 Advantages
- • Higher benchmark scores (71.9 vs 71.0)