Multimodal · Tencent

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

Hunyuan-Turbo Nano scores 63.0 on MMMU, placing it #398 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
63.0
0–100 scale
Rank
#398
of 600
Percentile
34th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
23.9
points

Score distribution

The chart shows the top 10 models on MMMU, with Hunyuan-Turbo Nano 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 Nano sits at #398 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 23.9 points. The median model in this index scores 70.0, which puts Hunyuan-Turbo Nano below the midpoint.

Tencent models average 68.9 on this benchmark. Hunyuan-Turbo Nano is 5.9 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 Nano is 2.0 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 63.0 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 $4.65 per million input tokens, Hunyuan-Turbo Nano 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
Grok 3 Nano xAI 8192 $7.12 67.8
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Fusion Mini OpenRouter 4096 $4.89 63.3
Molmo Allen Institute for AI 32768 $2.49 68.5
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
Embed 4 Reasoning Cohere 4096 $5.50 65.3

Other benchmarks for Hunyuan-Turbo Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.2 438 27th
GPQA Diamond 58.2 425 29th
SWE-bench Verified 49.4 426 29th
HumanEval 67.1 421 30th
MATH-500 66.0 413 31th
AIME 2025 51.5 445 26th
LiveCodeBench 51.0 439 27th
IFEval 73.0 417 31th
TruthfulQA 67.9 413 31th
HellaSwag 76.1 426 29th
Arena Elo 1298.8 422 30th

FAQ

What score does Hunyuan-Turbo Nano get on MMMU?

Hunyuan-Turbo Nano scores 63.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Hunyuan-Turbo Nano rank on MMMU?

It ranks #398 of 600 models, in the 34th percentile. The leader is GPT-5.2 Max at 86.9.

Is Hunyuan-Turbo Nano 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 Nano cost?

Hunyuan-Turbo Nano costs $4.65 per million input tokens and $25.39 per million output tokens.

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