Reasoning · Tencent

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

Hunyuan-Turbo Reasoning scores 73.5 on GPQA Diamond, placing it #184 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.5
0–100 scale
Rank
#184
of 600
Percentile
69th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Hunyuan-Turbo Reasoning 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 Reasoning sits at #184 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.5 points. The median model in this index scores 68.8, which puts Hunyuan-Turbo Reasoning above the midpoint.

Tencent models average 67.7 on this benchmark. Hunyuan-Turbo Reasoning is 5.8 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 Reasoning is 0.0 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 73.5 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 $11.89 per million input tokens, Hunyuan-Turbo Reasoning 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
Sonar Max Perplexity 32768 $11.60 77.8
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1
Llama 3.3 Groq Groq 32768 $3.98 76.8
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Magistral Base Mistral AI 65536 $3.86 75.6
Phi-4 Instruct Microsoft 128000 $3.79 75.3

Other benchmarks for Hunyuan-Turbo Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.8 249 59th
SWE-bench Verified 67.1 166 72th
HumanEval 83.3 153 75th
MATH-500 79.5 221 63th
AIME 2025 77.4 123 80th
LiveCodeBench 70.5 180 70th
IFEval 86.5 145 76th
TruthfulQA 77.6 265 56th
HellaSwag 85.0 244 59th
MMMU 74.7 165 73th
Arena Elo 1393.6 235 61th

FAQ

What score does Hunyuan-Turbo Reasoning get on GPQA Diamond?

Hunyuan-Turbo Reasoning scores 73.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Hunyuan-Turbo Reasoning rank on GPQA Diamond?

It ranks #184 of 600 models, in the 69th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Hunyuan-Turbo Reasoning 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 Reasoning cost?

Hunyuan-Turbo Reasoning costs $11.89 per million input tokens and $42.01 per million output tokens.

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