Multimodal · Tencent

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

Hunyuan-Large 7B scores 58.6 on MMMU, placing it #448 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
58.6
0–100 scale
Rank
#448
of 600
Percentile
25th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
28.3
points

Score distribution

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

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Hunyuan-Large 7B sits at #448 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 28.3 points. The median model in this index scores 70.0, which puts Hunyuan-Large 7B below the midpoint.

Tencent models average 68.9 on this benchmark. Hunyuan-Large 7B is 10.3 points below that provider line, so it is a weaker result than the average Tencent model.

Among small open-weight models, the average is 52.4. Hunyuan-Large 7B is 6.2 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 58.6 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 MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Reka Flash Nano Reka AI 16384 $3.93 61.0
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Magistral 8B Mistral AI 4096 $1.33 60.0
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
QwQ 8B Alibaba Cloud 16384 $1.37 59.5

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
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
Arena Elo 1251.8 488 19th

FAQ

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

Hunyuan-Large 7B scores 58.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Hunyuan-Large 7B rank on MMMU?

It ranks #448 of 600 models, in the 25th percentile. The leader is GPT-5.2 Max at 86.9.

Is Hunyuan-Large 7B good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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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