Model Comparison

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

Comparing GLM-4.5V and Qwen3 VL 32B Thinking across benchmarks, pricing, and capabilities.

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

GLM-4.5V (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.

Choose GLM-4.5V if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose Qwen3 VL 32B Thinking if…

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

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and Qwen3 VL 32B Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

75.0B diff

GLM-4.5V has 75.0B more parameters than Qwen3 VL 32B Thinking, making it 227.3% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
108.0B
GLM-4.5V
33.0B
Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-4.5V

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

MIT

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 1 month newer than GLM-4.5V.

GLM-4.5V

Aug 11, 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

Zhipu AI
Larger context window (131,072 tokens)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

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

FAQ

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

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

GLM-4.5V (Zhipu AI) and Qwen3 VL 32B Thinking (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-4.5V compare to Qwen3 VL 32B Thinking in benchmarks?

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 context window sizes for GLM-4.5V and Qwen3 VL 32B Thinking?

GLM-4.5V supports 131K tokens and Qwen3 VL 32B Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

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

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

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

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