Model Comparison

GLM-4.5-Air vs Qwen3 VL 32B ThinkingWhich is better in 2026?

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

Verdict: GLM-4.5-Air vs Qwen3 VL 32B Thinking — which is better?

GLM-4.5-Air (by Zhipu AI) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.5-Air outperforms in 2 benchmarks (BFCL-v3, GPQA), while Qwen3 VL 32B Thinking is better at 1 benchmark (MMLU-Pro). GLM-4.5-Air shows notably better performance in the majority of benchmarks.

Choose GLM-4.5-Air if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Qwen3 VL 32B Thinking if…

  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-4.5-Air outperforms in 2 benchmarks (BFCL-v3, GPQA), while Qwen3 VL 32B Thinking is better at 1 benchmark (MMLU-Pro).

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

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

73.0B diff

GLM-4.5-Air has 73.0B more parameters than Qwen3 VL 32B Thinking, making it 221.2% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
106.0B
GLM-4.5-Air
33.0B
Qwen3 VL 32B Thinking

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas GLM-4.5-Air does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Qwen3 VL 32B Thinking 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 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 2 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

10 months ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

1mo newer

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 BFCL-v3 score (76.4% vs 71.7%)
Higher GPQA score (75.0% vs 73.1%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher MMLU-Pro score (82.1% vs 81.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5-Air
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about GLM-4.5-Air vs Qwen3 VL 32B Thinking.

Which is better, GLM-4.5-Air or Qwen3 VL 32B Thinking?

GLM-4.5-Air shows notably better performance in the majority of benchmarks. GLM-4.5-Air is made by Zhipu AI and Qwen3 VL 32B Thinking 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 VL 32B Thinking 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 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between GLM-4.5-Air and Qwen3 VL 32B Thinking?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Qwen3 VL 32B Thinking?

GLM-4.5-Air is developed by Zhipu AI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.