Model Comparison

Gemini 3 Pro vs Qwen2-VL-72B-InstructWhich is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3 Pro vs Qwen2-VL-72B-Instruct — which is better?

Gemini 3 Pro (by Google) and Qwen2-VL-72B-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 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-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 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Nov 2025

Choose Qwen2-VL-72B-Instruct if…

  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Mon Jun 08 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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Qwen2-VL-72B-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-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

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

Gemini 3 Pro

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Gemini 3 Pro is 15 months newer than Qwen2-VL-72B-Instruct.

Gemini 3 Pro

Nov 18, 2025

6 months ago

1.2yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 3 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Gemini 3 Pro

Jan 2025

1.6 yr newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher MMMU-Pro score (81.0% vs 46.2%)
Alibaba Cloud / Qwen Team

Qwen2-VL-72B-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
Qwen2-VL-72B-Instruct

FAQ

Common questions about Gemini 3 Pro vs Qwen2-VL-72B-Instruct.

Which is better, Gemini 3 Pro or Qwen2-VL-72B-Instruct?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Qwen2-VL-72B-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-VL-72B-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-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Gemini 3 Pro and Qwen2-VL-72B-Instruct?

Gemini 3 Pro supports 1.0M tokens and Qwen2-VL-72B-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-VL-72B-Instruct?

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

Who makes Gemini 3 Pro and Qwen2-VL-72B-Instruct?

Gemini 3 Pro is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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