Reasoning · Tencent

Hunyuan-Turbo Max on GPQA Diamond: score, rank and what it means

Hunyuan-Turbo Max scores 75.8 on GPQA Diamond, placing it #125 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
75.8
0–100 scale
Rank
#125
of 600
Percentile
79th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
11.2
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Hunyuan-Turbo Max sits at #125 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 11.2 points. The median model in this index scores 68.8, which puts Hunyuan-Turbo Max above the midpoint.

Tencent models average 67.7 on this benchmark. Hunyuan-Turbo Max is 8.1 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 73.5. Hunyuan-Turbo Max is 2.3 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 75.8 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Magistral Mistral AI 200000 $4.75 79.8
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4

Other benchmarks for Hunyuan-Turbo Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 217 64th
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 GPQA Diamond?

Hunyuan-Turbo Max scores 75.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Hunyuan-Turbo Max rank on GPQA Diamond?

It ranks #125 of 600 models, in the 79th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Hunyuan-Turbo Max good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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