Commonsense · Alibaba Cloud

Qwen3 Chat on HellaSwag: score, rank and what it means

Qwen3 Chat scores 86.5 on HellaSwag, placing it #194 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.5
0–100 scale
Rank
#194
of 600
Percentile
68th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3 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, Qwen3 Chat sits at #194 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.6 points. The median model in this index scores 83.6, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3 Chat is 3.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 86.8. Qwen3 Chat is 0.3 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 86.5 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 $4.75 per million input tokens, Qwen3 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
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Llama 3 Replicate Replicate 200000 $3.75 75.7
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Sonar Pro Perplexity 128000 $13.01 79.1

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
GPQA Diamond 73.9 173 71th
SWE-bench Verified 68.5 133 78th
HumanEval 83.9 136 77th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
LiveCodeBench 72.2 144 76th
IFEval 87.5 118 80th
TruthfulQA 81.3 145 76th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

What score does Qwen3 Chat get on HellaSwag?

Qwen3 Chat scores 86.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3 Chat rank on HellaSwag?

It ranks #194 of 600 models, in the 68th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3 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 Qwen3 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

Related