Model Comparison

Gemini 3 Flash vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 3 Flash vs Qwen3 VL 32B Thinking — which is better?

Gemini 3 Flash (by Google) 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.

Gemini 3 Flash outperforms in 7 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro, SimpleQA, VideoMMMU), while Qwen3 VL 32B Thinking is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 7 of 7 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 32B Thinking if…

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

Comparative analysis across standard metrics

7 benchmarks

Gemini 3 Flash outperforms in 7 benchmarks (AIME 2025, CharXiv-R, GPQA, MMMU-Pro, ScreenSpot Pro, SimpleQA, VideoMMMU), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Gemini 3 Flash 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 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Flash and Qwen3 VL 32B Thinking support multimodal inputs.

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

Gemini 3 Flash

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Flash 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 3 Flash

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Gemini 3 Flash is 3 months newer than Qwen3 VL 32B Thinking.

Gemini 3 Flash

Dec 17, 2025

5 months ago

2mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Gemini 3 Flash

Jan 2025

Qwen3 VL 32B Thinking

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Higher AIME 2025 score (99.7% vs 83.7%)
Higher CharXiv-R score (80.3% vs 65.2%)
Higher GPQA score (90.4% vs 73.1%)
Higher MMMU-Pro score (81.2% vs 68.1%)
Higher ScreenSpot Pro score (69.1% vs 57.1%)
Higher SimpleQA score (68.7% vs 55.4%)
Higher VideoMMMU score (86.9% vs 79.0%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

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

FAQ

Common questions about Gemini 3 Flash vs Qwen3 VL 32B Thinking.

Which is better, Gemini 3 Flash or Qwen3 VL 32B Thinking?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash 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 3 Flash compare to Qwen3 VL 32B Thinking in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. 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 context window sizes for Gemini 3 Flash and Qwen3 VL 32B Thinking?

Gemini 3 Flash supports 1.0M 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 Gemini 3 Flash and Qwen3 VL 32B Thinking?

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

Who makes Gemini 3 Flash and Qwen3 VL 32B Thinking?

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

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