Coding · Tencent

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

Hunyuan-Large scores 71.8 on LiveCodeBench, placing it #151 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
71.8
0–100 scale
Rank
#151
of 600
Percentile
75th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
13.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Hunyuan-Large 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-Large sits at #151 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 13.3 points. The median model in this index scores 64.7, which puts Hunyuan-Large above the midpoint.

Tencent models average 61.9 on this benchmark. Hunyuan-Large is 9.9 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-Large is 1.5 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 71.8 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 $4.33 per million input tokens, Hunyuan-Large 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
ERNIE 4.0 Turbo Baidu 65536 $12.00 78.0
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Command A Cohere 200000 $13.30 79.6
Hunyuan-Large Tencent 65536 $4.33 78.2
Reka Core Pro Reka AI 65536 $13.44 79.9
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0

Other benchmarks for Hunyuan-Large

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 157 74th
GPQA Diamond 75.0 146 76th
SWE-bench Verified 67.8 149 75th
HumanEval 82.1 184 69th
MATH-500 83.1 145 76th
AIME 2025 74.3 170 72th
IFEval 84.4 204 66th
TruthfulQA 80.9 160 73th
HellaSwag 84.6 262 56th
MMMU 75.7 143 76th
Arena Elo 1394.8 230 62th

FAQ

What score does Hunyuan-Large get on LiveCodeBench?

Hunyuan-Large scores 71.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Hunyuan-Large rank on LiveCodeBench?

It ranks #151 of 600 models, in the 75th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Hunyuan-Large 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-Large cost?

Hunyuan-Large costs $4.33 per million input tokens and $20.11 per million output tokens.

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