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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-3-opus-20240229
anthropic
Context200K tokens
Input Price$5 / 1M tokens
Output Price$75 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $2 / 1M tokens | $5 / 1M tokens |
| Output Price | $8 / 1M tokens | $75 / 1M tokens |
Capabilities | ||
| Context Window | 1047576 tokens | 200K tokens |
| Capabilities | tools | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 52.2 | 42.2 |
| Maths | 34.7 | N/A |
| Vision | 74.8 | N/A |
| Finance | 39.0 | N/A |
| Science | 66.1 | 52.0 |
| Writing | 56.6 | 50.0 |
| Academia | 54.9 | 35.1 |
| Marketing | 59.0 | 54.5 |
| Programming | 32.2 | 19.5 |
Benchmark Tests | ||
| HLE | 4.6 | 3.1 |
| AIME | 43.7 | 3.3 |
| DROP | _ | 83.1 |
| GPQA | 66.5 | 49.6 |
| MMLU | 90.2 | 86.8 |
| MMMU | 74.8 | _ |
| SciCode | 38.1 | 23.3 |
| MATH-500 | 91.3 | 64.1 |
| MMLU-Pro | 80.6 | 69.0 |
| HumanEval | _ | 84.9 |
| LiveCodeBench | 45.7 | 27.9 |
| AA Math Index | 34.7 | _ |
| AA Coding Index | 32.2 | 19.5 |
| AAII | 43.4 | 20.6 |
gpt-4.1 Advantages
- • Higher benchmark scores (52.2 vs 42.2)
- • Lower input token cost ($2 / 1M tokens vs $5 / 1M tokens)
- • Larger context window (1047576 tokens vs 200K tokens)
claude-3-opus-20240229 Advantages