Nova Pro
Amazon Nova Pro is a highly-capable multimodal model with state-of-the-art performance across text, image, and video understanding. It excels at core capabilities like language understanding, mathematical reasoning, and multimodal tasks while offering industry-leading speed and cost efficiency.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| ARC-C | 94.8% | self-reported llm-stats | link → |
| BBH | 86.9% | self-reported llm-stats | link → |
| BFCL | 68.4% | self-reported llm-stats | link → |
| ChartQA | 89.2% | self-reported llm-stats | link → |
| CRAG | 50.3% | self-reported llm-stats | link → |
| DocVQA | 93.5% | self-reported llm-stats | link → |
| DROP | 85.4% | self-reported llm-stats | link → |
| EgoSchema | 72.1% | self-reported llm-stats | link → |
| FinQA | 77.2% | self-reported llm-stats | link → |
| GPQA | 46.9% | self-reported llm-stats | link → |
| GroundUI-1K | 81.4% | self-reported llm-stats | link → |
| GSM8k | 94.8% | self-reported llm-stats | link → |
| HumanEval | 89.0% | self-reported llm-stats | link → |
| IFEval | 92.1% | self-reported llm-stats | link → |
| LVBench | 41.6% | self-reported llm-stats | link → |
| MATH | 76.6% | self-reported llm-stats | link → |
| MM-Mind2Web | 63.7% | self-reported llm-stats | link → |
| MMLU | 85.9% | self-reported llm-stats | link → |
| MMMU | 61.7% | self-reported llm-stats | link → |
| SQuALITY | 19.8% | self-reported llm-stats | link → |
| TextVQA | 81.5% | self-reported llm-stats | link → |
| Translation en→Set1 COMET22 | 89.1% | self-reported llm-stats | link → |
| Translation en→Set1 spBleu | 43.4% | self-reported llm-stats | link → |
| Translation Set1→en COMET22 | 89.0% | self-reported llm-stats | link → |
| Translation Set1→en spBleu | 44.4% | self-reported llm-stats | link → |
| VATEX | 77.8% | self-reported llm-stats | link → |
| VisualWebBench | 79.7% | self-reported llm-stats | link → |