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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-opus-4.6
anthropic
Context200K tokens
Input Price$5 / 1M tokens
Output Price$25 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $5 / 1M tokens | $1.25 / 1M tokens |
| Output Price | $25 / 1M tokens | $10 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 400K tokens |
| Capabilities | tools, reasoning | tools |
| Input type | text, image | text, image |
Category Scores | ||
| Overall Average | 60.6 | 70.5 |
| Science | 78.1 | 79.5 |
| Writing | 55.0 | 74.4 |
| Academia | 68.8 | 65.0 |
| Marketing | 53.4 | 75.1 |
| Programming | 47.6 | 36.0 |
| Maths | N/A | 94.3 |
| Finance | N/A | 69.5 |
Benchmark Tests | ||
| HLE | 18.6 | 26.5 |
| AIME | _ | 95.7 |
| GPQA | 91.3 | 85.4 |
| SciCode | 45.7 | 42.9 |
| MATH-500 | _ | 99.4 |
| MMLU-Pro | _ | 87.1 |
| LiveCodeBench | _ | 84.6 |
| AA Math Index | _ | 94.3 |
| AA Coding Index | 47.6 | 36.0 |
| AAII | 46.4 | 44.6 |
claude-opus-4.6 Advantages
gpt-5 Advantages
- • Higher benchmark scores (70.5 vs 60.6)
- • Lower input token cost ($1.25 / 1M tokens vs $5 / 1M tokens)
- • Larger context window (400K tokens vs 200K tokens)