Coding · Tencent

Hunyuan-Turbo on LiveCodeBench: score, rank and what it means

Hunyuan-Turbo scores 64.8 on LiveCodeBench, placing it #296 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
64.8
0–100 scale
Rank
#296
of 600
Percentile
51th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
20.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Hunyuan-Turbo highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 sits at #296 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.3 points. The median model in this index scores 64.7, which puts Hunyuan-Turbo above the midpoint.

Tencent models average 61.9 on this benchmark. Hunyuan-Turbo is 2.9 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 is 5.5 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 64.8 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 $10.55 per million input tokens, Hunyuan-Turbo 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.

ModelProviderContextInput / 1MAvg score
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Chat Mistral AI 65536 $3.30 72.6

Other benchmarks for Hunyuan-Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 165 73th
GPQA Diamond 73.9 170 72th
SWE-bench Verified 63.4 246 59th
HumanEval 81.5 196 67th
MATH-500 78.0 257 57th
AIME 2025 70.3 253 58th
IFEval 84.9 194 68th
TruthfulQA 79.8 188 69th
HellaSwag 83.9 286 52th
MMMU 72.7 227 62th
Arena Elo 1389.7 251 58th

FAQ

What score does Hunyuan-Turbo get on LiveCodeBench?

Hunyuan-Turbo scores 64.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Hunyuan-Turbo rank on LiveCodeBench?

It ranks #296 of 600 models, in the 51st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Hunyuan-Turbo 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 cost?

Hunyuan-Turbo costs $10.55 per million input tokens and $41.84 per million output tokens.

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