Hunyuan-Turbo Pro on LiveCodeBench: score, rank and what it means
Hunyuan-Turbo Pro scores 72.6 on LiveCodeBench, placing it #135 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Hunyuan-Turbo Pro highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Hunyuan-Turbo Pro sits at #135 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 12.5 points. The median model in this index scores 64.7, which puts Hunyuan-Turbo Pro above the midpoint.
Tencent models average 61.9 on this benchmark. Hunyuan-Turbo Pro is 10.7 points above that provider line, so it is a stronger result than the average Tencent model.
Among multimodal models, the average is 70.3. Hunyuan-Turbo Pro is 2.3 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 72.6 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 $12.00 per million input tokens, Hunyuan-Turbo Pro is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 |
|---|---|---|---|---|
| ERNIE 4.5 | Baidu | 65536 | $13.44 | 80.0 |
| Claude Sonnet 4.5 Mini | Anthropic | 32768 | $11.43 | 76.5 |
| Sonar Max | Perplexity | 32768 | $11.60 | 77.8 |
| GLM-4.6 Instruct | Zhipu AI | 1000000 | $5.15 | 80.4 |
| Hunyuan-Turbo Pro | Tencent | 65536 | $12.00 | 77.6 |
| Claude Opus 4.5 Mini | Anthropic | 65536 | $12.72 | 79.0 |
| Nova Pro Pro | Amazon | 200000 | $13.03 | 79.5 |
Other benchmarks for Hunyuan-Turbo Pro
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.9 | 150 | 75th | |
| GPQA Diamond | 75.9 | 122 | 80th | |
| SWE-bench Verified | 64.1 | 231 | 62th | |
| HumanEval | 83.2 | 156 | 74th | |
| MATH-500 | 83.1 | 146 | 76th | |
| AIME 2025 | 73.4 | 198 | 67th | |
| IFEval | 83.2 | 239 | 60th | |
| TruthfulQA | 78.7 | 227 | 62th | |
| HellaSwag | 85.0 | 243 | 60th | |
| MMMU | 73.2 | 212 | 65th | |
| Arena Elo | 1403.3 | 200 | 67th |
FAQ
What score does Hunyuan-Turbo Pro get on LiveCodeBench?
Hunyuan-Turbo Pro scores 72.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Hunyuan-Turbo Pro rank on LiveCodeBench?
It ranks #135 of 600 models, in the 78th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Hunyuan-Turbo Pro good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench is a coding 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 Pro cost?
Hunyuan-Turbo Pro costs $12.00 per million input tokens and $51.23 per million output tokens.