Model Comparison

Gemini Diffusion vs Qwen3 VL 32B Thinking

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini Diffusion outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas Gemini Diffusion does not.

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

Gemini Diffusion

Text

Images

Audio

Video

Qwen3 VL 32B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini Diffusion is licensed under a proprietary license, 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.

Gemini Diffusion

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 4 months newer than Gemini Diffusion.

Gemini Diffusion

May 20, 2025

11 months ago

Qwen3 VL 32B Thinking

Sep 22, 2025

7 months ago

4mo 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

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Key Takeaways

Gemini Diffusion

View details

Google

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

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Has open weights

Higher AIME 2025 score (83.7% vs 23.3%)

Higher GPQA score (73.1% vs 40.4%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemini Diffusion	Qwen3 VL 32B Thinking

FAQ

Common questions about Gemini Diffusion vs Qwen3 VL 32B Thinking.

Which is better, Gemini Diffusion or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Gemini Diffusion is made by Google 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 Gemini Diffusion compare to Qwen3 VL 32B Thinking in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. 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 Gemini Diffusion and Qwen3 VL 32B Thinking?

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

Who makes Gemini Diffusion and Qwen3 VL 32B Thinking?

Gemini Diffusion is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.