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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-opus-4
anthropic
Context200K tokens
Input Price$15 / 1M tokens
Output Price$75 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $15 / 1M tokens | $2 / 1M tokens |
| Output Price | $75 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 65.7 | 57.5 |
| Academia | 65.0 | 56.6 |
| Marketing | 49.0 | 55.7 |
| Science | 80.9 | 66.5 |
| Writing | 68.1 | 39.5 |
| Finance | N/A | 57.1 |
| Maths | N/A | 67.5 |
| Programming | N/A | 41.9 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | _ | 43.7 |
| AA Coding Index | _ | 41.9 |
| AAII | 49.0 | 46.8 |
| AA Math Index | _ | 67.5 |
| GPQA | 80.9 | 66.5 |
| HLE | _ | 4.6 |
| LiveCodeBench | _ | 45.7 |
| MATH-500 | _ | 91.3 |
| MMLU | _ | 90.2 |
| MMLU-Pro | _ | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | _ | 38.1 |
claude-opus-4 Advantages
- • Higher benchmark scores (65.7 vs 57.5)
gpt-4.1 Advantages
- • Lower input token cost ($2 / 1M tokens vs $15 / 1M tokens)
- • Larger context window (1047576 tokens vs 200K tokens)