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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.6 / 1M tokens | $3 / 1M tokens |
| Output Price | $2.2 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 131072 tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text | text |
Category Scores | ||
| Overall Average | 61.0 | 71.3 |
| Academia | 63.8 | 76.4 |
| Finance | 71.0 | 81.0 |
| Marketing | 37.0 | 51.5 |
| Maths | 92.6 | 96.7 |
| Programming | 54.3 | 63.8 |
| Science | 78.2 | 87.6 |
| Writing | 30.4 | 42.2 |
Benchmark Tests | ||
| AIME | 87.3 | 94.3 |
| AA Coding Index | 54.3 | 63.8 |
| AAII | 49.4 | 65.3 |
| AA Math Index | 92.6 | 96.7 |
| GPQA | 78.2 | 87.6 |
| HLE | 12.2 | 23.9 |
| LiveCodeBench | 73.8 | 81.9 |
| MATH-500 | 97.9 | 99.0 |
| MMLU-Pro | 83.5 | 86.6 |
| SciCode | 34.8 | 45.7 |
glm-4.5 Advantages
- • Lower input token cost ($0.6 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 61.0)
- • Larger context window (256K tokens vs 131072 tokens)