Mathematics · Tencent

Hunyuan-Large 7B on AIME 2025: score, rank and what it means

Hunyuan-Large 7B scores 43.6 on AIME 2025, placing it #515 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
43.6
0–100 scale
Rank
#515
of 600
Percentile
14th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
47.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Hunyuan-Large 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Hunyuan-Large 7B sits at #515 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.8 points. The median model in this index scores 67.6, which puts Hunyuan-Large 7B below the midpoint.

Tencent models average 64.6 on this benchmark. Hunyuan-Large 7B is 21.0 points below that provider line, so it is a weaker result than the average Tencent model.

Among small open-weight models, the average is 41.6. Hunyuan-Large 7B is 2.0 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 43.6 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 AIME 2025. 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 Modal 8B Modal 32768 $0.98 56.6
Yi-Large 8B 01.AI 32768 $0.88 56.1
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Gemma 3 8B Google DeepMind 16384 $0.96 56.5
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0

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
HumanEval 61.6 472 21th
MATH-500 56.7 499 17th
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 AIME 2025?

Hunyuan-Large 7B scores 43.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Hunyuan-Large 7B rank on AIME 2025?

It ranks #515 of 600 models, in the 14th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Hunyuan-Large 7B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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