Model Comparison

Gemini 3 Pro vs Qwen3 VL 32B InstructWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3 Pro vs Qwen3 VL 32B Instruct — which is better?

Gemini 3 Pro (by Google) and Qwen3 VL 32B Instruct (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.

Gemini 3 Pro outperforms in 5 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Nov 2025

Choose Qwen3 VL 32B Instruct if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3 Pro outperforms in 5 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sun Jun 07 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).

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Qwen3 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

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen3 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

Qwen3 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 Qwen3 VL 32B Instruct was released on 2025-09-22.

Gemini 3 Pro is 2 months newer than Qwen3 VL 32B Instruct.

Gemini 3 Pro

Nov 18, 2025

6 months ago

1mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 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 Qwen3 VL 32B Instruct's cutoff date.

Gemini 3 Pro

Jan 2025

Qwen3 VL 32B Instruct

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher AIME 2025 score (100.0% vs 66.2%)
Higher CharXiv-R score (81.4% vs 62.8%)
Higher GPQA score (91.9% vs 68.9%)
Higher MMMU-Pro score (81.0% vs 65.3%)
Higher ScreenSpot Pro score (72.7% vs 57.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about Gemini 3 Pro vs Qwen3 VL 32B Instruct.

Which is better, Gemini 3 Pro or Qwen3 VL 32B Instruct?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen3 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 Qwen3 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%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Gemini 3 Pro and Qwen3 VL 32B Instruct?

Gemini 3 Pro supports 1.0M tokens and Qwen3 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 Qwen3 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 Qwen3 VL 32B Instruct?

Gemini 3 Pro is developed by Google and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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