Commonsense · Tencent

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

Hunyuan-Turbo Nano scores 76.1 on HellaSwag, placing it #426 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
76.1
0–100 scale
Rank
#426
of 600
Percentile
29th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
20.0
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Hunyuan-Turbo Nano sits at #426 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 20.0 points. The median model in this index scores 83.6, which puts Hunyuan-Turbo Nano below the midpoint.

Tencent models average 81.3 on this benchmark. Hunyuan-Turbo Nano is 5.2 points below that provider line, so it is a weaker result than the average Tencent model.

Among mid-range models, the average is 79.8. Hunyuan-Turbo Nano is 3.7 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 76.1 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Zephyr Hugging Face 8192 $1.61 62.8
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2

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
AIME 2025 51.5 445 26th
LiveCodeBench 51.0 439 27th
IFEval 73.0 417 31th
TruthfulQA 67.9 413 31th
MMMU 63.0 398 34th
Arena Elo 1298.8 422 30th

FAQ

What score does Hunyuan-Turbo Nano get on HellaSwag?

Hunyuan-Turbo Nano scores 76.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Hunyuan-Turbo Nano rank on HellaSwag?

It ranks #426 of 600 models, in the 29th percentile. The leader is GPT-5.2 Max at 96.1.

Is Hunyuan-Turbo Nano good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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