Commonsense · Tencent

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

Hunyuan-Large Chat scores 86.9 on HellaSwag, placing it #181 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.9
0–100 scale
Rank
#181
of 600
Percentile
70th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.2
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Hunyuan-Large Chat 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-Large Chat sits at #181 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.2 points. The median model in this index scores 83.6, which puts Hunyuan-Large Chat above the midpoint.

Tencent models average 81.3 on this benchmark. Hunyuan-Large Chat is 5.6 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-Large Chat is 0.1 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 86.9 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 $4.35 per million input tokens, Hunyuan-Large Chat 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
ERNIE 4.5 Turbo Baidu 128000 $13.75 79.7
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Command A Turbo Cohere 32768 $13.53 79.8
Hunyuan-Large Chat Tencent 200000 $4.35 78.1
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7

Other benchmarks for Hunyuan-Large Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 164 73th
GPQA Diamond 75.4 135 78th
SWE-bench Verified 66.3 185 69th
HumanEval 83.5 145 76th
MATH-500 83.3 141 77th
AIME 2025 70.4 250 58th
LiveCodeBench 73.8 112 81th
IFEval 84.3 206 66th
TruthfulQA 80.3 170 72th
MMMU 74.0 191 68th
Arena Elo 1413.8 174 71th

FAQ

What score does Hunyuan-Large Chat get on HellaSwag?

Hunyuan-Large Chat scores 86.9 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Hunyuan-Large Chat rank on HellaSwag?

It ranks #181 of 600 models, in the 70th percentile. The leader is GPT-5.2 Max at 96.1.

Is Hunyuan-Large Chat 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-Large Chat cost?

Hunyuan-Large Chat costs $4.35 per million input tokens and $18.20 per million output tokens.

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