Commonsense · Alibaba Cloud

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

Qwen3 Base scores 85.4 on HellaSwag, placing it #230 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.4
0–100 scale
Rank
#230
of 600
Percentile
62th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
10.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3 Base 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 Base sits at #230 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 10.7 points. The median model in this index scores 83.6, which puts Qwen3 Base above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3 Base is 2.3 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 Base is 1.4 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 85.4 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 $4.33 per million input tokens, Qwen3 Base 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
Seed-OSS Chat ByteDance 65536 $3.49 74.4
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6
Sonar Pro Perplexity 65536 $11.25 77.1
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
Sonar Max Perplexity 32768 $11.60 77.8

Other benchmarks for Qwen3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.5 170 72th
GPQA Diamond 75.8 127 79th
SWE-bench Verified 66.7 176 71th
HumanEval 80.5 224 63th
MATH-500 83.9 126 79th
AIME 2025 69.8 262 56th
LiveCodeBench 68.8 214 64th
IFEval 85.3 179 70th
TruthfulQA 79.0 220 63th
MMMU 76.0 141 77th
Arena Elo 1408.2 186 69th

FAQ

What score does Qwen3 Base get on HellaSwag?

Qwen3 Base scores 85.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3 Base rank on HellaSwag?

It ranks #230 of 600 models, in the 62nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3 Base 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 Base cost?

Qwen3 Base costs $4.33 per million input tokens and $15.39 per million output tokens.

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