Commonsense · Alibaba Cloud

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

Qwen3-Coder Chat scores 88.0 on HellaSwag, placing it #142 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
88.0
0–100 scale
Rank
#142
of 600
Percentile
76th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3-Coder 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-Coder Chat sits at #142 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.1 points. The median model in this index scores 83.6, which puts Qwen3-Coder Chat above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3-Coder Chat is 4.9 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 Chat is 7.3 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 88.0 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 $4.59 per million input tokens, Qwen3-Coder 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-4.5 Chat Zhipu AI 65536 $4.53 78.3
Qwen3 Alibaba Cloud 128000 $5.04 80.3
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
QwQ Alibaba Cloud 128000 $4.57 78.6
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Sonar Pro Max Perplexity 128000 $14.01 81.1
ERNIE 4.0 Baidu 32768 $11.37 76.7

Other benchmarks for Qwen3-Coder Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.4 201 67th
GPQA Diamond 72.4 213 65th
SWE-bench Verified 69.5 122 80th
HumanEval 82.9 161 73th
MATH-500 85.2 106 82th
AIME 2025 74.0 183 70th
LiveCodeBench 68.9 211 65th
IFEval 85.0 193 68th
TruthfulQA 81.3 146 76th
MMMU 76.2 135 78th
Arena Elo 1411.0 182 70th

FAQ

What score does Qwen3-Coder Chat get on HellaSwag?

Qwen3-Coder Chat scores 88.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3-Coder Chat rank on HellaSwag?

It ranks #142 of 600 models, in the 76th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3-Coder 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-Coder Chat cost?

Qwen3-Coder Chat costs $4.59 per million input tokens and $21.05 per million output tokens.

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