Nova Pro Nano on MATH-500: score, rank and what it means
Nova Pro Nano scores 65.4 on MATH-500, placing it #417 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Nova Pro Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Nova Pro Nano sits at #417 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 31.3 points. The median model in this index scores 76.0, which puts Nova Pro Nano below the midpoint.
Amazon models average 76.8 on this benchmark. Nova Pro Nano is 11.4 points below that provider line, so it is a weaker result than the average Amazon model.
Among mid-range models, the average is 70.0. Nova Pro Nano is 4.6 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 65.4 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 $5.44 per million input tokens, Nova Pro Nano is above the median input price of $4.00 across the 600 models scored on MATH-500. 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 |
|---|---|---|---|---|
| Hunyuan-Turbo Nano | Tencent | 32768 | $4.65 | 62.7 |
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
| DeepSeek-V3.2 7B | DeepSeek | 4096 | $1.75 | 63.2 |
| GLM-4.6 7B | Zhipu AI | 16384 | $1.52 | 61.8 |
| Nova Pro Nano | Amazon | 8192 | $5.44 | 65.4 |
| Zephyr | Hugging Face | 8192 | $1.61 | 62.8 |
| GPT-NeoX Instruct | EleutherAI | 16384 | $1.52 | 62.6 |
Other benchmarks for Nova Pro Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.4 | 426 | 29th | |
| GPQA Diamond | 60.6 | 399 | 34th | |
| SWE-bench Verified | 53.2 | 396 | 34th | |
| HumanEval | 68.7 | 410 | 32th | |
| AIME 2025 | 57.8 | 402 | 33th | |
| LiveCodeBench | 58.4 | 383 | 36th | |
| IFEval | 74.0 | 405 | 33th | |
| TruthfulQA | 71.1 | 392 | 35th | |
| HellaSwag | 78.8 | 394 | 34th | |
| MMMU | 63.7 | 392 | 35th | |
| Arena Elo | 1301.3 | 418 | 30th |
FAQ
What score does Nova Pro Nano get on MATH-500?
Nova Pro Nano scores 65.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Nova Pro Nano rank on MATH-500?
It ranks #417 of 600 models, in the 31st percentile. The leader is GPT-5.2 Max at 96.7.
Is Nova Pro Nano good at MATH-500?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the MATH-500 score calculated?
MATH-500 is a mathematics 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 Nano cost?
Nova Pro Nano costs $5.44 per million input tokens and $20.47 per million output tokens.