Model Comparison

Gemini 3 Pro vs Qwen2.5 VL 32B Instruct

Gemini 3 Pro significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (GPQA, MMMU-Pro, ScreenSpot Pro), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Pro specifies input context (1,048,576 tokens). Only Gemini 3 Pro specifies output context (65,536 tokens).

Gemini 3 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen2.5 VL 32B Instruct

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Qwen2.5 VL 32B Instruct support multimodal inputs.

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

Gemini 3 Pro

Text

Images

Audio

Video

Qwen2.5 VL 32B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.

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

Gemini 3 Pro

Proprietary

Closed source

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Gemini 3 Pro is 9 months newer than Qwen2.5 VL 32B Instruct.

Gemini 3 Pro

Nov 18, 2025

6 months ago

8mo newer

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen2.5 VL 32B Instruct's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen2.5 VL 32B Instruct's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen2.5 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemini 3 Pro

View details

Google

Larger context window (1,048,576 tokens)

Higher GPQA score (91.9% vs 46.0%)

Higher MMMU-Pro score (81.0% vs 49.5%)

Higher ScreenSpot Pro score (72.7% vs 39.4%)

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 3 Pro	Qwen2.5 VL 32B Instruct

FAQ

Common questions about Gemini 3 Pro vs Qwen2.5 VL 32B Instruct.

Which is better, Gemini 3 Pro or Qwen2.5 VL 32B Instruct?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen2.5 VL 32B Instruct 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 3 Pro compare to Qwen2.5 VL 32B Instruct in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

What are the context window sizes for Gemini 3 Pro and Qwen2.5 VL 32B Instruct?

Gemini 3 Pro supports 1.0M tokens and Qwen2.5 VL 32B Instruct 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 Gemini 3 Pro and Qwen2.5 VL 32B Instruct?

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

Who makes Gemini 3 Pro and Qwen2.5 VL 32B Instruct?

Gemini 3 Pro is developed by Google and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.