Model Comparison

Gemini 1.5 Flash vs QvQ-72B-Preview

QvQ-72B-Preview significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.5 Flash outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).

QvQ-72B-Preview significantly outperforms across most benchmarks.

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Gemini 1.5 Flash

Input1,048,576 tokens

Output8,192 tokens

QvQ-72B-Preview

Input- tokens

Output- tokens

Wed Jun 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash and QvQ-72B-Preview support multimodal inputs.

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

Gemini 1.5 Flash

Text

Images

Audio

Video

QvQ-72B-Preview

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 1.5 Flash

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 8 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.1 years ago

QvQ-72B-Preview

Dec 25, 2024

1.4 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Gemini 1.5 Flash

Nov 2023

QvQ-72B-Preview

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Outputs Comparison

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Key Takeaways

Gemini 1.5 Flash

View details

Google

Larger context window (1,048,576 tokens)

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher MathVista score (71.4% vs 65.8%)

Higher MMMU score (70.3% vs 62.3%)

Gemini 1.5 Flash

QvQ-72B-Preview

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Detailed Comparison

AI Model Comparison Table
Feature	Gemini 1.5 Flash	QvQ-72B-Preview

FAQ

Common questions about Gemini 1.5 Flash vs QvQ-72B-Preview.

Which is better, Gemini 1.5 Flash or QvQ-72B-Preview?

QvQ-72B-Preview significantly outperforms across most benchmarks. Gemini 1.5 Flash 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 1.5 Flash compare to QvQ-72B-Preview in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Gemini 1.5 Flash and QvQ-72B-Preview?

Gemini 1.5 Flash supports 1.0M tokens and QvQ-72B-Preview 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 1.5 Flash and QvQ-72B-Preview?

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

Who makes Gemini 1.5 Flash and QvQ-72B-Preview?

Gemini 1.5 Flash is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.