Reasoning · Tencent

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

Hunyuan-Large scores 75.0 on GPQA Diamond, placing it #146 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
75.0
0–100 scale
Rank
#146
of 600
Percentile
76th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
12.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Hunyuan-Large 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-Large sits at #146 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 12.0 points. The median model in this index scores 68.8, which puts Hunyuan-Large above the midpoint.

Tencent models average 67.7 on this benchmark. Hunyuan-Large is 7.3 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-Large is 1.5 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 75.0 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 $4.33 per million input tokens, Hunyuan-Large 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
Nova Pro Pro Amazon 200000 $13.03 79.5
Reka Core Max Reka AI 128000 $13.41 79.3
Reka Core Turbo Reka AI 32768 $12.58 78.4
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Hunyuan-Large Tencent 65536 $4.33 78.2
GLM-4.5 Zhipu AI 200000 $4.55 78.2
Reka Core Reka AI 32768 $12.17 77.4

Other benchmarks for Hunyuan-Large

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 157 74th
SWE-bench Verified 67.8 149 75th
HumanEval 82.1 184 69th
MATH-500 83.1 145 76th
AIME 2025 74.3 170 72th
LiveCodeBench 71.8 151 75th
IFEval 84.4 204 66th
TruthfulQA 80.9 160 73th
HellaSwag 84.6 262 56th
MMMU 75.7 143 76th
Arena Elo 1394.8 230 62th

FAQ

What score does Hunyuan-Large get on GPQA Diamond?

Hunyuan-Large scores 75.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Hunyuan-Large rank on GPQA Diamond?

It ranks #146 of 600 models, in the 76th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Hunyuan-Large 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-Large cost?

Hunyuan-Large costs $4.33 per million input tokens and $20.11 per million output tokens.

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