Reasoning · Tencent

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

Hunyuan-Turbo scores 73.9 on GPQA Diamond, placing it #170 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.9
0–100 scale
Rank
#170
of 600
Percentile
72th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Hunyuan-Turbo 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 sits at #170 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.1 points. The median model in this index scores 68.8, which puts Hunyuan-Turbo above the midpoint.

Tencent models average 67.7 on this benchmark. Hunyuan-Turbo is 6.2 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 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 73.9 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 $10.55 per million input tokens, Hunyuan-Turbo 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
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3
Llama 3.3 Groq Instruct Groq 65536 $4.08 76.7
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Nova Pro Amazon 32768 $12.75 79.4

Other benchmarks for Hunyuan-Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 165 73th
SWE-bench Verified 63.4 246 59th
HumanEval 81.5 196 67th
MATH-500 78.0 257 57th
AIME 2025 70.3 253 58th
LiveCodeBench 64.8 296 51th
IFEval 84.9 194 68th
TruthfulQA 79.8 188 69th
HellaSwag 83.9 286 52th
MMMU 72.7 227 62th
Arena Elo 1389.7 251 58th

FAQ

What score does Hunyuan-Turbo get on GPQA Diamond?

Hunyuan-Turbo scores 73.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Hunyuan-Turbo rank on GPQA Diamond?

It ranks #170 of 600 models, in the 72nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Hunyuan-Turbo 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 cost?

Hunyuan-Turbo costs $10.55 per million input tokens and $41.84 per million output tokens.

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