Coding · Tencent

Hunyuan-Large 7B on HumanEval: score, rank and what it means

Hunyuan-Large 7B scores 61.6 on HumanEval, placing it #472 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
61.6
0–100 scale
Rank
#472
of 600
Percentile
21th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
35.2
points

Score distribution

The chart shows the top 10 models on HumanEval, with Hunyuan-Large 7B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Hunyuan-Large 7B sits at #472 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 35.2 points. The median model in this index scores 77.4, which puts Hunyuan-Large 7B below the midpoint.

Tencent models average 75.8 on this benchmark. Hunyuan-Large 7B is 14.2 points below that provider line, so it is a weaker result than the average Tencent model.

Among small open-weight models, the average is 56.7. Hunyuan-Large 7B is 4.9 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 61.6 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 $1.08 per million input tokens, Hunyuan-Large 7B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Pythia Chat EleutherAI 4096 $1.31 59.1
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Llama 3 Baseten 8B Baseten 4096 $1.02 57.0

Other benchmarks for Hunyuan-Large 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.0 471 22th
GPQA Diamond 56.3 446 26th
SWE-bench Verified 44.2 476 21th
MATH-500 56.7 499 17th
AIME 2025 43.6 515 14th
LiveCodeBench 44.5 503 16th
IFEval 69.9 462 23th
TruthfulQA 63.4 484 19th
HellaSwag 71.7 505 16th
MMMU 58.6 448 25th
Arena Elo 1251.8 488 19th

FAQ

What score does Hunyuan-Large 7B get on HumanEval?

Hunyuan-Large 7B scores 61.6 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Hunyuan-Large 7B rank on HumanEval?

It ranks #472 of 600 models, in the 21st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Hunyuan-Large 7B good at HumanEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the HumanEval score calculated?

HumanEval 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 7B cost?

Hunyuan-Large 7B costs $1.08 per million input tokens and $5.56 per million output tokens.

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