Multimodal · Tencent

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

Hunyuan-Turbo Reasoning scores 74.7 on MMMU, placing it #165 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
74.7
0–100 scale
Rank
#165
of 600
Percentile
73th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
12.2
points

Score distribution

The chart shows the top 10 models on MMMU, with Hunyuan-Turbo Reasoning 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 Reasoning sits at #165 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 12.2 points. The median model in this index scores 70.0, which puts Hunyuan-Turbo Reasoning above the midpoint.

Tencent models average 68.9 on this benchmark. Hunyuan-Turbo Reasoning is 5.8 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 74.3. Hunyuan-Turbo Reasoning 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 74.7 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 $11.89 per million input tokens, Hunyuan-Turbo Reasoning 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
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
QwQ Alibaba Cloud 128000 $4.57 78.6
Reka Flash Pro Reka AI 200000 $10.82 75.2
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Command A Max Cohere 400000 $14.28 79.9
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5

Other benchmarks for Hunyuan-Turbo Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 249 59th
GPQA Diamond 73.5 184 69th
SWE-bench Verified 67.1 166 72th
HumanEval 83.3 153 75th
MATH-500 79.5 221 63th
AIME 2025 77.4 123 80th
LiveCodeBench 70.5 180 70th
IFEval 86.5 145 76th
TruthfulQA 77.6 265 56th
HellaSwag 85.0 244 59th
Arena Elo 1393.6 235 61th

FAQ

What score does Hunyuan-Turbo Reasoning get on MMMU?

Hunyuan-Turbo Reasoning scores 74.7 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Hunyuan-Turbo Reasoning rank on MMMU?

It ranks #165 of 600 models, in the 73rd percentile. The leader is GPT-5.2 Max at 86.9.

Is Hunyuan-Turbo Reasoning good at MMMU?

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 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 Reasoning cost?

Hunyuan-Turbo Reasoning costs $11.89 per million input tokens and $42.01 per million output tokens.

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