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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
deepseek-r1-distill-llama-8b
openrouter
Context32K tokens
Input Price$0.04 / 1M tokens
Output Price$0.04 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.04 / 1M tokens | $3 / 1M tokens |
| Output Price | $0.04 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 32K tokens | 256K tokens |
| Capabilities | tools | |
| Input type | text | text |
Category Scores | ||
| Overall Average | 32.7 | 71.3 |
| Academia | 34.3 | 76.4 |
| Finance | 39.4 | 81.0 |
| Marketing | 14.4 | 51.5 |
| Maths | 59.3 | 96.7 |
| Programming | 17.6 | 63.8 |
| Science | 49.0 | 87.6 |
| Writing | 15.2 | 42.2 |
Benchmark Tests | ||
| AIME | 33.3 | 94.3 |
| AA Coding Index | 17.6 | 63.8 |
| AAII | 19.5 | 65.3 |
| AA Math Index | 59.3 | 96.7 |
| GPQA | 49.0 | 87.6 |
| HLE | 4.2 | 23.9 |
| LiveCodeBench | 23.3 | 81.9 |
| MATH-500 | 85.3 | 99.0 |
| MMLU-Pro | 54.3 | 86.6 |
| SciCode | 11.9 | 45.7 |
deepseek-r1-distill-llama-8b Advantages
- • Lower input token cost ($0.04 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (71.3 vs 32.7)
- • Larger context window (256K tokens vs 32K tokens)