Commonsense · Alibaba Cloud

Qwen3-Coder on HellaSwag: score, rank and what it means

Qwen3-Coder scores 86.7 on HellaSwag, placing it #188 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
86.7
0–100 scale
Rank
#188
of 600
Percentile
69th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
9.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3-Coder 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-Coder sits at #188 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 9.4 points. The median model in this index scores 83.6, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3-Coder is 3.6 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 80.7. Qwen3-Coder is 6.0 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 86.7 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 $4.94 per million input tokens, Qwen3-Coder 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
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Llama 3.3 Groq Groq 32768 $3.98 76.8
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
HumanEval 83.5 146 76th
MATH-500 86.1 92 85th
AIME 2025 74.2 175 71th
LiveCodeBench 69.8 196 67th
IFEval 86.6 144 76th
TruthfulQA 79.8 192 68th
MMMU 75.2 159 74th
Arena Elo 1439.3 98 84th

FAQ

What score does Qwen3-Coder get on HellaSwag?

Qwen3-Coder scores 86.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3-Coder rank on HellaSwag?

It ranks #188 of 600 models, in the 69th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3-Coder 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-Coder cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

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