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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
DeepSeek-R1
deepinfra
Context16K tokens
Input Price$0.75 / 1M tokens
Output Price$2.4 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.75 / 1M tokens | $3 / 1M tokens |
| Output Price | $2.4 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 16K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text | text |
Category Scores | ||
| Overall Average | 68.7 | 71.3 |
| Academia | 66.7 | 76.4 |
| Finance | 72.9 | 81.0 |
| Marketing | 60.1 | 51.5 |
| Maths | 93.8 | 96.7 |
| Programming | 58.7 | 63.8 |
| Science | 81.3 | 87.6 |
| Writing | 47.5 | 42.2 |
Benchmark Tests | ||
| AIME | 89.3 | 94.3 |
| AA Coding Index | 58.7 | 63.8 |
| AAII | 52.0 | 65.3 |
| AA Math Index | 93.8 | 96.7 |
| DROP | 92.2 | _ |
| GPQA | 81.3 | 87.6 |
| HLE | 14.9 | 23.9 |
| LiveCodeBench | 77.0 | 81.9 |
| MATH-500 | 98.3 | 99.0 |
| MMLU | 90.8 | _ |
| MMLU-Pro | 84.5 | 86.6 |
| SciCode | 40.3 | 45.7 |
DeepSeek-R1 Advantages
- • Lower input token cost ($0.75 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 68.7)
- • Larger context window (256K tokens vs 16K tokens)