Reasoning · Tencent

Hunyuan-Large 7B on GPQA Diamond: score, rank and what it means

Hunyuan-Large 7B scores 56.3 on GPQA Diamond, placing it #446 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
56.3
0–100 scale
Rank
#446
of 600
Percentile
26th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
30.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Hunyuan-Large 7B 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 7B sits at #446 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 30.7 points. The median model in this index scores 68.8, which puts Hunyuan-Large 7B below the midpoint.

Tencent models average 67.7 on this benchmark. Hunyuan-Large 7B is 11.4 points below that provider line, so it is a weaker result than the average Tencent model.

Among small open-weight models, the average is 49.3. Hunyuan-Large 7B is 7.0 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 56.3 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 $1.08 per million input tokens, Hunyuan-Large 7B is below 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
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Zephyr Chat Hugging Face 4096 $1.49 61.3
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
GPT-NeoX Base EleutherAI 16384 $1.22 59.7

Other benchmarks for Hunyuan-Large 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.0 471 22th
SWE-bench Verified 44.2 476 21th
HumanEval 61.6 472 21th
MATH-500 56.7 499 17th
AIME 2025 43.6 515 14th
LiveCodeBench 44.5 503 16th
IFEval 69.9 462 23th
TruthfulQA 63.4 484 19th
HellaSwag 71.7 505 16th
MMMU 58.6 448 25th
Arena Elo 1251.8 488 19th

FAQ

What score does Hunyuan-Large 7B get on GPQA Diamond?

Hunyuan-Large 7B scores 56.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Hunyuan-Large 7B rank on GPQA Diamond?

It ranks #446 of 600 models, in the 26th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Hunyuan-Large 7B good at GPQA Diamond?

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 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 7B cost?

Hunyuan-Large 7B costs $1.08 per million input tokens and $5.56 per million output tokens.

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