Model Comparison

GLM-4.5-Air vs QwQ-32B-Preview

GLM-4.5-Air significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-4.5-Air outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while QwQ-32B-Preview is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

73.5B diff

GLM-4.5-Air has 73.5B more parameters than QwQ-32B-Preview, making it 226.2% larger.

GLM-4.5-Air

106.0Bparameters

QwQ-32B-Preview

32.5Bparameters

106.0B

GLM-4.5-Air

32.5B

QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

GLM-4.5-Air

Input- tokens

Output- tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5-Air

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while QwQ-32B-Preview was released on 2024-11-28.

GLM-4.5-Air is 8 months newer than QwQ-32B-Preview.

GLM-4.5-Air

Jul 28, 2025

9 months ago

8mo newer

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while GLM-4.5-Air's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without GLM-4.5-Air's cutoff date.

GLM-4.5-Air

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

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Key Takeaways

GLM-4.5-Air

View details

Zhipu AI

Higher AIME 2024 score (89.4% vs 50.0%)

Higher GPQA score (75.0% vs 65.2%)

Higher LiveCodeBench score (70.7% vs 50.0%)

Higher MATH-500 score (98.1% vs 90.6%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	GLM-4.5-Air	QwQ-32B-Preview

FAQ

Common questions about GLM-4.5-Air vs QwQ-32B-Preview.

Which is better, GLM-4.5-Air or QwQ-32B-Preview?

GLM-4.5-Air significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5-Air compare to QwQ-32B-Preview in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for GLM-4.5-Air and QwQ-32B-Preview?

GLM-4.5-Air supports an unknown number of tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5-Air and QwQ-32B-Preview?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and QwQ-32B-Preview?

GLM-4.5-Air is developed by Zhipu AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.