Hunyuan-Turbo Reasoning on MMLU-Pro: score, rank and what it means
Hunyuan-Turbo Reasoning scores 77.8 on MMLU-Pro, placing it #249 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 Reasoning 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 Reasoning sits at #249 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 13.8 points. The median model in this index scores 76.1, which puts Hunyuan-Turbo Reasoning above the midpoint.
Tencent models average 74.2 on this benchmark. Hunyuan-Turbo Reasoning is 3.6 points above that provider line, so it is a stronger result than the average Tencent model.
Among multimodal models, the average is 80.0. Hunyuan-Turbo Reasoning is 2.2 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 77.8 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 $11.89 per million input tokens, Hunyuan-Turbo Reasoning 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 |
|---|---|---|---|---|
| Llama 3.3 Chat | Meta AI | 32768 | $4.18 | 76.9 |
| Magistral Chat | Mistral AI | 128000 | $4.33 | 76.8 |
| Nova Lite Turbo | Amazon | 8192 | $9.14 | 73.2 |
| Reka Flash Turbo | Reka AI | 128000 | $10.19 | 75.1 |
| Hunyuan-Turbo Reasoning | Tencent | 128000 | $11.89 | 77.5 |
| Nemotron 4 | NVIDIA | 65536 | $4.18 | 76.6 |
| Reka Flash Reasoning | Reka AI | 32768 | $10.70 | 75.6 |
Other benchmarks for Hunyuan-Turbo Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 73.5 | 184 | 69th | |
| SWE-bench Verified | 67.1 | 166 | 72th | |
| HumanEval | 83.3 | 153 | 75th | |
| MATH-500 | 79.5 | 221 | 63th | |
| AIME 2025 | 77.4 | 123 | 80th | |
| LiveCodeBench | 70.5 | 180 | 70th | |
| IFEval | 86.5 | 145 | 76th | |
| TruthfulQA | 77.6 | 265 | 56th | |
| HellaSwag | 85.0 | 244 | 59th | |
| MMMU | 74.7 | 165 | 73th | |
| Arena Elo | 1393.6 | 235 | 61th |
FAQ
What score does Hunyuan-Turbo Reasoning get on MMLU-Pro?
Hunyuan-Turbo Reasoning scores 77.8 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Hunyuan-Turbo Reasoning rank on MMLU-Pro?
It ranks #249 of 600 models, in the 59th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Hunyuan-Turbo Reasoning good at MMLU-Pro?
Yes, relative to the index: it is above the median and inside the top half of scores. 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 Reasoning cost?
Hunyuan-Turbo Reasoning costs $11.89 per million input tokens and $42.01 per million output tokens.