Hunyuan-Turbo Nano on MMLU-Pro: score, rank and what it means
Hunyuan-Turbo Nano scores 66.2 on MMLU-Pro, placing it #438 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 Hunyuan-Turbo Nano 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, Hunyuan-Turbo Nano sits at #438 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 25.4 points. The median model in this index scores 76.1, which puts Hunyuan-Turbo Nano below the midpoint.
Tencent models average 74.2 on this benchmark. Hunyuan-Turbo Nano is 8.0 points below that provider line, so it is a weaker result than the average Tencent model.
Among mid-range models, the average is 71.5. Hunyuan-Turbo Nano is 5.3 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 66.2 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 $4.65 per million input tokens, Hunyuan-Turbo Nano 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 |
|---|---|---|---|---|
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| Reka Flash Nano | Reka AI | 16384 | $3.93 | 61.0 |
| StableLM 2 Chat | Stability AI | 8192 | $1.79 | 64.6 |
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
| Hunyuan-Turbo Nano | Tencent | 32768 | $4.65 | 62.7 |
| Sonar Nano | Perplexity | 4096 | $4.37 | 61.9 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
Other benchmarks for Hunyuan-Turbo Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| 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 |
FAQ
What score does Hunyuan-Turbo Nano get on MMLU-Pro?
Hunyuan-Turbo Nano scores 66.2 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Hunyuan-Turbo Nano rank on MMLU-Pro?
It ranks #438 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Hunyuan-Turbo Nano good at MMLU-Pro?
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 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 Hunyuan-Turbo Nano cost?
Hunyuan-Turbo Nano costs $4.65 per million input tokens and $25.39 per million output tokens.