Model Comparison

Gemini 2.0 Flash Thinking vs QvQ-72B-PreviewWhich is better in 2026?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash Thinking vs QvQ-72B-Preview — which is better?

Gemini 2.0 Flash Thinking (by Google) and QvQ-72B-Preview (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 2.0 Flash Thinking outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 0 benchmarks. Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

Choose QvQ-72B-Preview if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash Thinking and QvQ-72B-Preview support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while QvQ-72B-Preview was released on 2024-12-25.

Gemini 2.0 Flash Thinking is 1 month newer than QvQ-72B-Preview.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.4 years ago

3w newer
QvQ-72B-Preview

Dec 25, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

QvQ-72B-Preview

Outputs Comparison

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Key Takeaways

Higher MMMU score (75.4% vs 70.3%)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash Thinking
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Gemini 2.0 Flash Thinking vs QvQ-72B-Preview.

Which is better, Gemini 2.0 Flash Thinking or QvQ-72B-Preview?

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks. Gemini 2.0 Flash Thinking is made by Google and QvQ-72B-Preview 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 2.0 Flash Thinking compare to QvQ-72B-Preview in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the main differences between Gemini 2.0 Flash Thinking and QvQ-72B-Preview?

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

Who makes Gemini 2.0 Flash Thinking and QvQ-72B-Preview?

Gemini 2.0 Flash Thinking is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.