Commonsense · Alibaba Cloud

Qwen3 8B on HellaSwag: score, rank and what it means

Qwen3 8B scores 75.6 on HellaSwag, placing it #433 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
75.6
0–100 scale
Rank
#433
of 600
Percentile
28th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
20.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3 8B 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 8B sits at #433 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 20.5 points. The median model in this index scores 83.6, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3 8B is 7.5 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among small open-weight models, the average is 70.2. Qwen3 8B is 5.4 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 75.6 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 $1.66 per million input tokens, Qwen3 8B is below 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
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6

Other benchmarks for Qwen3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 432 28th
GPQA Diamond 57.2 437 27th
SWE-bench Verified 51.0 413 31th
HumanEval 65.7 434 28th
MATH-500 62.8 438 27th
AIME 2025 52.6 438 27th
LiveCodeBench 51.5 433 28th
IFEval 71.0 442 26th
TruthfulQA 67.2 427 29th
MMMU 59.8 430 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on HellaSwag?

Qwen3 8B scores 75.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3 8B rank on HellaSwag?

It ranks #433 of 600 models, in the 28th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3 8B 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 Qwen3 8B cost?

Qwen3 8B costs $1.66 per million input tokens and $6.65 per million output tokens.

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