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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
nova-micro-v1
openrouter
Context128K tokens
Input Price$0.04 / 1M tokens
Output Price$0.14 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.04 / 1M tokens | $2 / 1M tokens |
| Output Price | $0.14 / 1M tokens | $8 / 1M tokens |
Capabilities | ||
| Context Window | 128K tokens | 1047576 tokens |
| Capabilities | tools | tools |
| Input type | text | text, image |
Category Scores | ||
| Overall Average | 30.4 | 56.8 |
| Academia | 27.6 | 54.9 |
| Finance | 28.3 | 55.5 |
| Marketing | 38.9 | 54.4 |
| Maths | 39.2 | 67.5 |
| Programming | 11.7 | 41.9 |
| Science | 37.9 | 66.5 |
| Writing | 29.2 | 39.2 |
| Vision | N/A | 74.8 |
Benchmark Tests | ||
| AIME | 8.0 | 43.7 |
| AA Coding Index | 11.7 | 41.9 |
| AAII | 17.3 | 43.4 |
| AA Math Index | 39.2 | 67.5 |
| DROP | 79.3 | _ |
| GPQA | 37.9 | 66.5 |
| HLE | 4.7 | 4.6 |
| HumanEval | 81.1 | _ |
| LiveCodeBench | 14.0 | 45.7 |
| MATH-500 | 70.3 | 91.3 |
| MMLU | 77.6 | 90.2 |
| MMLU-Pro | 53.1 | 80.6 |
| MMMU | _ | 74.8 |
| SciCode | 9.4 | 38.1 |
nova-micro-v1 Advantages
- • Lower input token cost ($0.04 / 1M tokens vs $2 / 1M tokens)
gpt-4.1 Advantages
- • Higher benchmark scores (56.8 vs 30.4)
- • Larger context window (1047576 tokens vs 128K tokens)