Knowledge · Tencent

Hunyuan-Turbo Max on MMLU-Pro: score, rank and what it means

Hunyuan-Turbo Max scores 78.8 on MMLU-Pro, placing it #217 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
78.8
0–100 scale
Rank
#217
of 600
Percentile
64th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
12.8
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Hunyuan-Turbo Max highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Hunyuan-Turbo Max sits at #217 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 12.8 points. The median model in this index scores 76.1, which puts Hunyuan-Turbo Max above the midpoint.

Tencent models average 74.2 on this benchmark. Hunyuan-Turbo Max is 4.6 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 80.0. Hunyuan-Turbo Max is 1.2 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 78.8 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 $12.40 per million input tokens, Hunyuan-Turbo Max is above the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
MiniMax-Text MiniMax 32768 $4.44 77.0
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
GLM-4.5 Zhipu AI 200000 $4.55 78.2
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
Llama 3 Replicate Replicate 200000 $3.75 75.7

Other benchmarks for Hunyuan-Turbo Max

BenchmarkScoreRankPercentileRelative
GPQA Diamond 75.8 125 79th
SWE-bench Verified 66.0 195 68th
HumanEval 82.6 169 72th
MATH-500 83.7 134 78th
AIME 2025 76.7 133 78th
LiveCodeBench 70.8 176 71th
IFEval 85.4 175 71th
TruthfulQA 80.8 161 73th
HellaSwag 86.1 211 65th
MMMU 74.4 173 71th
Arena Elo 1421.3 143 76th

FAQ

What score does Hunyuan-Turbo Max get on MMLU-Pro?

Hunyuan-Turbo Max scores 78.8 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Hunyuan-Turbo Max rank on MMLU-Pro?

It ranks #217 of 600 models, in the 64th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Hunyuan-Turbo Max good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Max cost?

Hunyuan-Turbo Max costs $12.40 per million input tokens and $48.22 per million output tokens.

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