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Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
nemotron-nano-9b-v2
deepinfra
Context128K tokens
Input Price$0.04 / 1M tokens
Output Price$0.16 / 1M tokens
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Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $0.04 / 1M tokens | $3 / 1M tokens |
| Output Price | $0.16 / 1M tokens | $15 / 1M tokens |
Capabilities | ||
| Context Window | 128K tokens | 256K tokens |
| Capabilities | tools | tools |
| Input type | text | text |
Category Scores | ||
| Overall Average | 50.4 | 75.5 |
| Academia | 47.0 | 76.4 |
| Finance | 53.3 | 79.0 |
| Marketing | 38.9 | 69.1 |
| Maths | 69.7 | 92.7 |
| Programming | 47.2 | 63.8 |
| Science | 57.9 | 80.1 |
| Writing | 39.0 | 67.6 |
Benchmark Tests | ||
| AIME | _ | 94.3 |
| AA Coding Index | 47.2 | 63.8 |
| AAII | 36.9 | 65.3 |
| AA Math Index | 69.7 | 92.7 |
| GPQA | 57.0 | 87.6 |
| HLE | 4.6 | 23.9 |
| LiveCodeBench | 72.4 | 81.9 |
| MATH-500 | _ | 99.0 |
| MMLU-Pro | 74.2 | 86.6 |
| SciCode | 22.0 | 45.7 |
nemotron-nano-9b-v2 Advantages
- • Lower input token cost ($0.04 / 1M tokens vs $3 / 1M tokens)
grok-4 Advantages
- • Higher benchmark scores (75.5 vs 50.4)
- • Larger context window (256K tokens vs 128K tokens)