Coding · Tencent

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

Hunyuan-Large Instruct scores 68.3 on LiveCodeBench, placing it #219 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
68.3
0–100 scale
Rank
#219
of 600
Percentile
64th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
16.8
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Hunyuan-Large Instruct 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 Instruct sits at #219 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 16.8 points. The median model in this index scores 64.7, which puts Hunyuan-Large Instruct above the midpoint.

Tencent models average 61.9 on this benchmark. Hunyuan-Large Instruct is 6.4 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 Instruct is 2.0 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 68.3 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 $4.39 per million input tokens, Hunyuan-Large Instruct 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
Nova Lite Pro Amazon 200000 $9.69 74.1
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Sonar Perplexity 200000 $10.57 76.0
Llama 3.3 Meta AI 128000 $4.56 78.2
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0

Other benchmarks for Hunyuan-Large Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.0 209 65th
GPQA Diamond 75.4 136 77th
SWE-bench Verified 66.1 191 68th
HumanEval 84.0 132 78th
MATH-500 82.9 148 75th
AIME 2025 76.9 130 78th
IFEval 86.1 151 75th
TruthfulQA 79.8 187 69th
HellaSwag 87.7 153 75th
MMMU 74.3 176 71th
Arena Elo 1422.1 138 77th

FAQ

What score does Hunyuan-Large Instruct get on LiveCodeBench?

Hunyuan-Large Instruct scores 68.3 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Hunyuan-Large Instruct rank on LiveCodeBench?

It ranks #219 of 600 models, in the 64th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Hunyuan-Large Instruct 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 Instruct cost?

Hunyuan-Large Instruct costs $4.39 per million input tokens and $19.44 per million output tokens.

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