Mathematics · Tencent

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

Hunyuan-Large scores 74.3 on AIME 2025, placing it #170 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
74.3
0–100 scale
Rank
#170
of 600
Percentile
72th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
17.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Hunyuan-Large 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 sits at #170 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 17.1 points. The median model in this index scores 67.6, which puts Hunyuan-Large above the midpoint.

Tencent models average 64.6 on this benchmark. Hunyuan-Large is 9.7 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 73.9. Hunyuan-Large is 0.4 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 74.3 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 $4.33 per million input tokens, Hunyuan-Large is above 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
Qwen3 Alibaba Cloud 128000 $5.04 80.3
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Hunyuan-Large Tencent 65536 $4.33 78.2
Command A Reasoning Cohere 400000 $13.74 80.2
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8

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
LiveCodeBench 71.8 151 75th
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 AIME 2025?

Hunyuan-Large scores 74.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Hunyuan-Large rank on AIME 2025?

It ranks #170 of 600 models, in the 72nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Hunyuan-Large good at AIME 2025?

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 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 cost?

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

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