Commonsense · Tencent

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

Hunyuan-Turbo scores 83.9 on HellaSwag, placing it #286 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
83.9
0–100 scale
Rank
#286
of 600
Percentile
52th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
12.2
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Hunyuan-Turbo 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 sits at #286 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 12.2 points. The median model in this index scores 83.6, which puts Hunyuan-Turbo above the midpoint.

Tencent models average 81.3 on this benchmark. Hunyuan-Turbo is 2.6 points above that provider line, so it is a stronger result than the average Tencent model.

Among multimodal models, the average is 86.8. Hunyuan-Turbo is 2.9 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 83.9 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nova Lite Reasoning Amazon 32768 $9.92 74.3
Auto Turbo OpenRouter 65536 $7.96 70.9
Firefunction Max Fireworks AI 32768 $9.12 73.2
Grok 3 Mini xAI 200000 $9.67 73.9
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Nova Lite Max Amazon 200000 $9.79 73.4

Other benchmarks for Hunyuan-Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 165 73th
GPQA Diamond 73.9 170 72th
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
MMMU 72.7 227 62th
Arena Elo 1389.7 251 58th

FAQ

What score does Hunyuan-Turbo get on HellaSwag?

Hunyuan-Turbo scores 83.9 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Hunyuan-Turbo rank on HellaSwag?

It ranks #286 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Hunyuan-Turbo good at HellaSwag?

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 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 cost?

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

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