Back to GalleryBack
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
Loading comparison...
Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $1.2 / 1M tokens | $2 / 1M tokens |
| Output Price | $1.2 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 32768 tokens | 1047576 tokens |
| Capabilities | tools | |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 33.7 | 56.8 |
| Academia | 30.3 | 54.9 |
| Finance | 30.3 | 55.5 |
| Marketing | 40.9 | 54.4 |
| Maths | 42.4 | 67.5 |
| Programming | 19.4 | 41.9 |
| Science | 42.4 | 66.5 |
| Writing | 30.6 | 39.2 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 14.7 | 43.7 |
| AA Coding Index | 19.4 | 41.9 |
| AAII | 18.1 | 43.4 |
| AA Math Index | 42.4 | 67.5 |
| GPQA | 42.4 | 66.5 |
| HLE | 3.7 | 4.6 |
| HumanEval | 86.0 | _ |
| LiveCodeBench | 15.9 | 45.7 |
| MATH-500 | 70.1 | 91.3 |
| MMLU | 82.3 | 90.2 |
| MMLU-Pro | 63.3 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 22.9 | 38.1 |
Qwen2-72B-Instruct Advantages
- • Lower input token cost ($1.2 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (56.8 vs 33.7)
- • Larger context window (1047576 tokens vs 32768 tokens)