Nova Pro Reasoning on MMLU-Pro: score, rank and what it means
Nova Pro Reasoning scores 79.5 on MMLU-Pro, placing it #197 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Nova Pro Reasoning highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Nova Pro Reasoning sits at #197 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 12.1 points. The median model in this index scores 76.1, which puts Nova Pro Reasoning above the midpoint.
Amazon models average 76.4 on this benchmark. Nova Pro Reasoning is 3.1 points above that provider line, so it is a stronger result than the average Amazon model.
Among multimodal models, the average is 80.0. Nova Pro Reasoning is 0.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 79.5 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $13.48 per million input tokens, Nova Pro Reasoning is above the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Seed-OSS | ByteDance | 32768 | $3.74 | 75.3 |
| GLM-4.6 Base | Zhipu AI | 128000 | $4.53 | 78.5 |
| Grok 4 Mini | xAI | 65536 | $12.21 | 77.9 |
| Llama 3.1 Instruct | Meta AI | 200000 | $4.05 | 75.7 |
| Nova Pro Reasoning | Amazon | 200000 | $13.48 | 79.4 |
| Phi-4 | Microsoft | 200000 | $3.96 | 75.4 |
| Gemini 3 Pro Mini | Google DeepMind | 128000 | $12.27 | 78.1 |
Other benchmarks for Nova Pro Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 73.4 | 192 | 68th | |
| SWE-bench Verified | 70.1 | 109 | 82th | |
| HumanEval | 83.4 | 150 | 75th | |
| MATH-500 | 84.2 | 122 | 80th | |
| AIME 2025 | 74.1 | 179 | 70th | |
| LiveCodeBench | 74.2 | 104 | 83th | |
| IFEval | 87.4 | 124 | 79th | |
| TruthfulQA | 79.9 | 183 | 70th | |
| HellaSwag | 89.0 | 112 | 81th | |
| MMMU | 78.6 | 84 | 86th | |
| Arena Elo | 1415.8 | 165 | 73th |
FAQ
What score does Nova Pro Reasoning get on MMLU-Pro?
Nova Pro Reasoning scores 79.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Nova Pro Reasoning rank on MMLU-Pro?
It ranks #197 of 600 models, in the 67th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Nova Pro Reasoning good at MMLU-Pro?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the MMLU-Pro score calculated?
MMLU-Pro is a knowledge benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Nova Pro Reasoning cost?
Nova Pro Reasoning costs $13.48 per million input tokens and $65.09 per million output tokens.