Hunyuan-Turbo Nano: pricing, context window and benchmarks
Hunyuan-Turbo Nano is a mid-range model from Tencent. It offers a 32,768-token context window, costs $4.65 per million input tokens and $25.39 per million output tokens, and averages 62.7 across the index's benchmark suite.
Pricing
Hunyuan-Turbo Nano costs $4.65 per million input tokens and $25.39 per million output tokens. A blended 3:1 input-to-output mix works out to about $9.84 per million tokens. Cached input is listed at $0.54 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.65 | per 1M tokens |
| Output | $25.39 | per 1M tokens |
| Cached input | $0.54 | per 1M tokens |
| Blended 3:1 | $9.84 | estimate per 1M tokens |
| 1M in + 1M out | $30.04 | 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 | 66.2 | 438 | 27th | |
| GPQA Diamond | 58.2 | 425 | 29th | |
| SWE-bench Verified | 49.4 | 426 | 29th | |
| HumanEval | 67.1 | 421 | 30th | |
| MATH-500 | 66.0 | 413 | 31th | |
| AIME 2025 | 51.5 | 445 | 26th | |
| LiveCodeBench | 51.0 | 439 | 27th | |
| IFEval | 73.0 | 417 | 31th | |
| TruthfulQA | 67.9 | 413 | 31th | |
| HellaSwag | 76.1 | 426 | 29th | |
| MMMU | 63.0 | 398 | 34th | |
| Arena Elo | 1298.8 | 422 | 30th |
What Hunyuan-Turbo Nano is good for
Hunyuan-Turbo 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 $4.65 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Balanced specification profile with no single dominant strength.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| DeepSeek-R1 7B | DeepSeek | 32768 | $1.79 | 63.0 |
| Zephyr | Hugging Face | 8192 | $1.61 | 62.8 |
| Hunyuan-Turbo Nano | Tencent | 32768 | $4.65 | 62.7 |
| Kimi K2 7B | Moonshot AI | 16384 | $1.72 | 62.7 |
| GPT-NeoX Instruct | EleutherAI | 16384 | $1.52 | 62.6 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
FAQ
How much does Hunyuan-Turbo Nano cost?
Hunyuan-Turbo Nano is listed at $4.65 per million input tokens and $25.39 per million output tokens. Cached input is $0.54 per million tokens. A blended 3:1 input-to-output mix is about $9.84 per million tokens.
What is the context window of Hunyuan-Turbo Nano?
Hunyuan-Turbo Nano has a context window of 32,768 tokens and can emit up to 16,384 output tokens per request in this index.
Is Hunyuan-Turbo Nano open weights?
No. Hunyuan-Turbo Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Hunyuan-Turbo Nano score on benchmarks?
Hunyuan-Turbo Nano averages 62.7 across the scored benchmarks in this index, ranking #422 of 600 models. Its strongest relative result is Arena Elo at 1298.8.
What is Hunyuan-Turbo Nano best for?
Hunyuan-Turbo 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 $4.65 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.