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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 | $3 / 1M tokens | $0.1 / 1M tokens |
| Output Price | $15 / 1M tokens | $0.1 / 1M tokens |
Capabilities | ||
| Context Window | 200K tokens | 128K tokens |
| Capabilities | tools, reasoning | tools |
| Input type | text, image | text |
Category Scores | ||
| Overall Average | 71.4 | 0.0 |
| Maths | 88.0 | N/A |
| Finance | 75.3 | N/A |
| Science | 77.7 | N/A |
| Writing | 66.9 | N/A |
| Academia | 73.0 | N/A |
| Marketing | 69.2 | N/A |
| Programming | 49.8 | N/A |
Benchmark Tests | ||
| HLE | 17.3 | _ |
| GPQA | 83.4 | _ |
| SciCode | 44.7 | _ |
| MMLU-Pro | 87.5 | _ |
| LiveCodeBench | 71.4 | _ |
| AA Math Index | 88.0 | _ |
| AA Coding Index | 49.8 | _ |
| AAII | 62.7 | _ |
claude-sonnet-4.5 Advantages
- • Higher benchmark scores (71.4 vs 0.0)
- • Larger context window (200K tokens vs 128K tokens)
glm-4-32b Advantages
- • Lower input token cost ($0.1 / 1M tokens vs $3 / 1M tokens)