Mathematics · Tencent

Hunyuan-Turbo Nano on AIME 2025: score, rank and what it means

Hunyuan-Turbo Nano scores 51.5 on AIME 2025, placing it #445 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
51.5
0–100 scale
Rank
#445
of 600
Percentile
26th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
39.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Hunyuan-Turbo Nano highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Hunyuan-Turbo Nano sits at #445 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 39.9 points. The median model in this index scores 67.6, which puts Hunyuan-Turbo Nano below the midpoint.

Tencent models average 64.6 on this benchmark. Hunyuan-Turbo Nano is 13.1 points below that provider line, so it is a weaker result than the average Tencent model.

Among mid-range models, the average is 60.1. Hunyuan-Turbo Nano is 8.6 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 51.5 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 $4.65 per million input tokens, Hunyuan-Turbo Nano is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Flash Nano Reka AI 16384 $3.93 61.0
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
Pythia Instruct EleutherAI 8192 $1.41 60.8
Zephyr Chat Hugging Face 4096 $1.49 61.3
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
Yi-Lightning 8B 01.AI 4096 $1.16 59.2
DeepSeek-Coder 8B DeepSeek 32768 $1.26 58.7

Other benchmarks for Hunyuan-Turbo Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.2 438 27th
GPQA Diamond 58.2 425 29th
SWE-bench Verified 49.4 426 29th
HumanEval 67.1 421 30th
MATH-500 66.0 413 31th
LiveCodeBench 51.0 439 27th
IFEval 73.0 417 31th
TruthfulQA 67.9 413 31th
HellaSwag 76.1 426 29th
MMMU 63.0 398 34th
Arena Elo 1298.8 422 30th

FAQ

What score does Hunyuan-Turbo Nano get on AIME 2025?

Hunyuan-Turbo Nano scores 51.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Hunyuan-Turbo Nano rank on AIME 2025?

It ranks #445 of 600 models, in the 26th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Hunyuan-Turbo Nano good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Nano cost?

Hunyuan-Turbo Nano costs $4.65 per million input tokens and $25.39 per million output tokens.

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