Multimodal · Tencent

Hunyuan-Turbo Mini on MMMU: score, rank and what it means

Hunyuan-Turbo Mini scores 64.5 on MMMU, placing it #385 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
64.5
0–100 scale
Rank
#385
of 600
Percentile
36th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
22.4
points

Score distribution

The chart shows the top 10 models on MMMU, with Hunyuan-Turbo Mini 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-Turbo Mini sits at #385 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 22.4 points. The median model in this index scores 70.0, which puts Hunyuan-Turbo Mini below the midpoint.

Tencent models average 68.9 on this benchmark. Hunyuan-Turbo Mini is 4.4 points below that provider line, so it is a weaker result than the average Tencent model.

Among mid-range models, the average is 65.0. Hunyuan-Turbo Mini is 0.5 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 64.5 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 $6.59 per million input tokens, Hunyuan-Turbo Mini is above 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
Arctic Instruct Snowflake 65536 $2.83 70.6
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
StableLM 2 Stability AI 8192 $1.91 65.0

Other benchmarks for Hunyuan-Turbo Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.1 367 39th
GPQA Diamond 63.1 383 36th
SWE-bench Verified 52.3 403 33th
HumanEval 73.7 362 40th
MATH-500 69.0 387 36th
AIME 2025 63.9 357 41th
LiveCodeBench 59.2 377 37th
IFEval 76.7 381 37th
TruthfulQA 73.8 359 40th
HellaSwag 82.0 346 42th
Arena Elo 1343.8 374 38th

FAQ

What score does Hunyuan-Turbo Mini get on MMMU?

Hunyuan-Turbo Mini scores 64.5 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Hunyuan-Turbo Mini rank on MMMU?

It ranks #385 of 600 models, in the 36th percentile. The leader is GPT-5.2 Max at 86.9.

Is Hunyuan-Turbo Mini 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-Turbo Mini cost?

Hunyuan-Turbo Mini costs $6.59 per million input tokens and $31.70 per million output tokens.

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