Qwen3-Max Nano: pricing, context window and benchmarks
Qwen3-Max Nano is a mid-range model from Alibaba Cloud. It offers a 65,536-token context window, costs $8.31 per million input tokens and $42.90 per million output tokens, and averages 71.7 across the index's benchmark suite.
Pricing
Qwen3-Max Nano costs $8.31 per million input tokens and $42.90 per million output tokens. A blended 3:1 input-to-output mix works out to about $16.96 per million tokens. Cached input is listed at $0.95 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $8.31 | per 1M tokens |
| Output | $42.90 | per 1M tokens |
| Cached input | $0.95 | per 1M tokens |
| Blended 3:1 | $16.96 | estimate per 1M tokens |
| 1M in + 1M out | $51.21 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| 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 | |
| MATH-500 | 75.6 | 313 | 48th | |
| 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 |
What Qwen3-Max Nano is good for
Qwen3-Max Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $8.31 per million input tokens with a 65,536-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $8.31 per million tokens.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 DeepInfra Base | DeepInfra | 16384 | $2.95 | 71.8 |
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Fusion Turbo | OpenRouter | 8192 | $8.55 | 71.7 |
| Mixtral Turbo Chat | Together AI | 32768 | $3.02 | 71.7 |
| OLMo 2 Instruct | Allen Institute for AI | 32768 | $3.03 | 71.7 |
| Qwen3-Max Nano | Alibaba Cloud | 65536 | $8.31 | 71.7 |
FAQ
How much does Qwen3-Max Nano cost?
Qwen3-Max Nano is listed at $8.31 per million input tokens and $42.90 per million output tokens. Cached input is $0.95 per million tokens. A blended 3:1 input-to-output mix is about $16.96 per million tokens.
What is the context window of Qwen3-Max Nano?
Qwen3-Max Nano has a context window of 65,536 tokens and can emit up to 65,536 output tokens per request in this index.
Is Qwen3-Max Nano open weights?
No. Qwen3-Max Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Qwen3-Max Nano score on benchmarks?
Qwen3-Max Nano averages 71.7 across the scored benchmarks in this index, ranking #336 of 600 models. Its strongest relative result is Arena Elo at 1348.2.
What is Qwen3-Max Nano best for?
Qwen3-Max Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $8.31 per million input tokens with a 65,536-token window, check its benchmark profile against the specific task before committing.