Model Comparison

GLM-4.5-Air vs Qwen3 235B A22B

GLM-4.5-Air shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-4.5-Air outperforms in 3 benchmarks (AIME 2024, GPQA, MMLU-Pro), while Qwen3 235B A22B is better at 0 benchmarks.

GLM-4.5-Air shows notably better performance in the majority of benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

129.0B diff

Qwen3 235B A22B has 129.0B more parameters than GLM-4.5-Air, making it 121.7% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
106.0B
GLM-4.5-Air
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen3 235B A22B 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

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Qwen3 235B A22B was released on 2025-04-29.

GLM-4.5-Air is 3 months newer than Qwen3 235B A22B.

GLM-4.5-Air

Jul 28, 2025

10 months ago

3mo newer
Qwen3 235B A22B

Apr 29, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher AIME 2024 score (89.4% vs 85.7%)
Higher GPQA score (75.0% vs 47.5%)
Higher MMLU-Pro score (81.4% vs 68.2%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5-Air
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about GLM-4.5-Air vs Qwen3 235B A22B.

Which is better, GLM-4.5-Air or Qwen3 235B A22B?

GLM-4.5-Air shows notably better performance in the majority of benchmarks. GLM-4.5-Air is made by Zhipu AI and Qwen3 235B A22B 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 Qwen3 235B A22B 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%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for GLM-4.5-Air and Qwen3 235B A22B?

GLM-4.5-Air supports an unknown number of tokens and Qwen3 235B A22B supports 128K 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 Qwen3 235B A22B?

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 Qwen3 235B A22B?

GLM-4.5-Air is developed by Zhipu AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.