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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
Qwen2-72B-Instruct
togetherai
Context32768 tokens
Input Price$1.2 / 1M tokens
Output Price$1.2 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.2 / 1M tokens | $3 / 1M tokens |
| Output Price | $1.2 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 32768 tokens | 256K tokens |
| Capabilities | tools | |
| Input type | text | text |
Category Scores | ||
| Overall Average | 33.7 | 71.3 |
| Academia | 30.3 | 76.4 |
| Finance | 30.3 | 81.0 |
| Marketing | 40.9 | 51.5 |
| Maths | 42.4 | 96.7 |
| Programming | 19.4 | 63.8 |
| Science | 42.4 | 87.6 |
| Writing | 30.6 | 42.2 |
Benchmark Tests | ||
| AIME | 14.7 | 94.3 |
| AA Coding Index | 19.4 | 63.8 |
| AAII | 18.1 | 65.3 |
| AA Math Index | 42.4 | 96.7 |
| GPQA | 42.4 | 87.6 |
| HLE | 3.7 | 23.9 |
| HumanEval | 86.0 | _ |
| LiveCodeBench | 15.9 | 81.9 |
| MATH-500 | 70.1 | 99.0 |
| MMLU | 82.3 | _ |
| MMLU-Pro | 63.3 | 86.6 |
| SciCode | 22.9 | 45.7 |
Qwen2-72B-Instruct Advantages
- • Lower input token cost ($1.2 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 33.7)
- • Larger context window (256K tokens vs 32768 tokens)