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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-sonnet-4.5
anthropic
Context200K tokens
Input Price$3 / 1M tokens
Output Price$15 / 1M tokens
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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 | 200K tokens |
| Capabilities | tools | tools, reasoning |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 48.4 | 66.7 |
| Maths | 34.7 | 88.0 |
| Vision | 74.8 | N/A |
| Finance | 30.1 | 65.5 |
| Science | 66.1 | 77.7 |
| Writing | 56.6 | 66.9 |
| Academia | 46.0 | 63.1 |
| Marketing | 57.2 | 67.2 |
| Programming | 21.8 | 38.6 |
Benchmark Tests | ||
| HLE | 4.6 | 17.3 |
| AIME | 43.7 | _ |
| GPQA | 66.5 | 83.4 |
| MMLU | 90.2 | _ |
| MMMU | 74.8 | _ |
| SciCode | 38.1 | 44.7 |
| MATH-500 | 91.3 | _ |
| MMLU-Pro | 80.6 | 87.5 |
| LiveCodeBench | 45.7 | 71.4 |
| AA Math Index | 34.7 | 88.0 |
| AA Coding Index | 21.8 | 38.6 |
| AAII | 25.6 | 42.9 |
gpt-4.1 Advantages
- • Lower input token cost ($2 / 1M tokens vs $3 / 1M tokens)
- • Larger context window (1047576 tokens vs 200K tokens)
claude-sonnet-4.5 Advantages
- • Higher benchmark scores (66.7 vs 48.4)