Commonsense · Tencent

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

Hunyuan-Turbo Max scores 86.1 on HellaSwag, placing it #211 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.1
0–100 scale
Rank
#211
of 600
Percentile
65th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
10.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Hunyuan-Turbo Max 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 Max sits at #211 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.0 points. The median model in this index scores 83.6, which puts Hunyuan-Turbo Max above the midpoint.

Tencent models average 81.3 on this benchmark. Hunyuan-Turbo Max is 4.8 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 Max is 0.7 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 86.1 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 $12.40 per million input tokens, Hunyuan-Turbo Max 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
Reka Core Turbo Reka AI 32768 $12.58 78.4
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
MiniMax-Text Base MiniMax 128000 $3.66 74.9
Sonar Reasoning Perplexity 200000 $11.48 76.2
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Magistral Chat Mistral AI 128000 $4.33 76.8

Other benchmarks for Hunyuan-Turbo Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 217 64th
GPQA Diamond 75.8 125 79th
SWE-bench Verified 66.0 195 68th
HumanEval 82.6 169 72th
MATH-500 83.7 134 78th
AIME 2025 76.7 133 78th
LiveCodeBench 70.8 176 71th
IFEval 85.4 175 71th
TruthfulQA 80.8 161 73th
MMMU 74.4 173 71th
Arena Elo 1421.3 143 76th

FAQ

What score does Hunyuan-Turbo Max get on HellaSwag?

Hunyuan-Turbo Max scores 86.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Hunyuan-Turbo Max rank on HellaSwag?

It ranks #211 of 600 models, in the 65th percentile. The leader is GPT-5.2 Max at 96.1.

Is Hunyuan-Turbo Max 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 Max cost?

Hunyuan-Turbo Max costs $12.40 per million input tokens and $48.22 per million output tokens.

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