Model Comparison

Gemini 3.1 Pro vs Qwen2-VL-72B-InstructWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3.1 Pro vs Qwen2-VL-72B-Instruct — which is better?

Gemini 3.1 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 3.1 Pro outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

Choose Gemini 3.1 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 Feb 2026

Choose Qwen2-VL-72B-Instruct if…

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

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 0 benchmarks.

Gemini 3.1 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 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Qwen2-VL-72B-Instruct support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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 3.1 Pro

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Gemini 3.1 Pro is 18 months newer than Qwen2-VL-72B-Instruct.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.5yr newer
Qwen2-VL-72B-Instruct

Aug 29, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 3.1 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 3.1 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 (80.5% 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 3.1 Pro
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct

FAQ

Common questions about Gemini 3.1 Pro vs Qwen2-VL-72B-Instruct.

Which is better, Gemini 3.1 Pro or Qwen2-VL-72B-Instruct?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 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 3.1 Pro compare to Qwen2-VL-72B-Instruct in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. 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 3.1 Pro and Qwen2-VL-72B-Instruct?

Gemini 3.1 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 3.1 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 3.1 Pro and Qwen2-VL-72B-Instruct?

Gemini 3.1 Pro is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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