Qwen3-Max Nano on MATH-500: score, rank and what it means
Qwen3-Max Nano scores 75.6 on MATH-500, placing it #313 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 Qwen3-Max 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, Qwen3-Max Nano sits at #313 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 21.1 points. The median model in this index scores 76.0, which puts Qwen3-Max Nano below the midpoint.
Alibaba Cloud models average 76.4 on this benchmark. Qwen3-Max Nano is 0.8 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.
Among mid-range models, the average is 70.0. Qwen3-Max Nano is 5.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 75.6 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 $8.31 per million input tokens, Qwen3-Max 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 |
|---|---|---|---|---|
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| Llama 3 Replicate Base | Replicate | 65536 | $3.15 | 72.1 |
| Llama 3 Lambda Chat | Lambda | 32768 | $3.73 | 74.7 |
| Mixtral Instruct | Mistral AI | 65536 | $3.35 | 72.9 |
| Qwen3-Max Nano | Alibaba Cloud | 65536 | $8.31 | 71.7 |
| Seed-OSS Chat | ByteDance | 65536 | $3.49 | 74.4 |
| Mixtral Turbo | Together AI | 65536 | $3.20 | 72.4 |
Other benchmarks for Qwen3-Max Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 76.0 | 308 | 49th | |
| GPQA Diamond | 65.0 | 361 | 40th | |
| SWE-bench Verified | 59.2 | 339 | 44th | |
| HumanEval | 74.7 | 349 | 42th | |
| AIME 2025 | 69.1 | 280 | 53th | |
| LiveCodeBench | 62.5 | 343 | 43th | |
| IFEval | 79.3 | 346 | 42th | |
| TruthfulQA | 76.8 | 287 | 52th | |
| HellaSwag | 81.9 | 352 | 41th | |
| MMMU | 68.5 | 336 | 44th | |
| Arena Elo | 1348.2 | 368 | 39th |
FAQ
What score does Qwen3-Max Nano get on MATH-500?
Qwen3-Max Nano scores 75.6 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Qwen3-Max Nano rank on MATH-500?
It ranks #313 of 600 models, in the 48th percentile. The leader is GPT-5.2 Max at 96.7.
Is Qwen3-Max 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 Qwen3-Max Nano cost?
Qwen3-Max Nano costs $8.31 per million input tokens and $42.90 per million output tokens.