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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
claude-sonnet-4
anthropic
Context200K tokens
Input Price$3 / 1M tokens
Output Price$15 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | _ | $3 / 1M tokens |
| Output Price | _ | $15 / 1M tokens |
Capabilities | ||
| Context Window | 128K tokens | 200K tokens |
| Capabilities | tools | tools |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 38.7 | 53.5 |
| Academia | 46.9 | 59.9 |
| Marketing | 26.7 | 30.9 |
| Programming | 45.5 | 41.1 |
| Science | 55.7 | 75.4 |
| Writing | 18.9 | 23.7 |
| Finance | N/A | 55.7 |
| Maths | N/A | 67.0 |
| Vision | N/A | 74.4 |
Benchmark Tests | ||
| AIME | _ | 40.7 |
| AA Coding Index | 45.5 | 41.1 |
| AAII | 38.1 | 44.4 |
| AA Math Index | _ | 67.0 |
| GPQA | 55.7 | 75.4 |
| HLE | 4.0 | 4.0 |
| LiveCodeBench | 70.1 | 44.9 |
| MATH-500 | _ | 93.4 |
| MMLU-Pro | 73.9 | 83.7 |
| MMMU | _ | 74.4 |
| SciCode | 20.9 | 37.3 |
nemotron-nano-9b-v2 Advantages
- • Lower input token cost (_ vs $3 / 1M tokens)
claude-sonnet-4 Advantages
- • Higher benchmark scores (53.5 vs 38.7)
- • Larger context window (200K tokens vs 128K tokens)