Model Comparison

Gemini 1.5 Flash vs QvQ-72B-PreviewWhich is better in 2026?

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

Verdict: Gemini 1.5 Flash vs QvQ-72B-Preview — which is better?

Gemini 1.5 Flash (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 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.

Choose Gemini 1.5 Flash if…

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose QvQ-72B-Preview if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune
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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.

Sun Jun 07 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).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sun Jun 07 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

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Alibaba Cloud / Qwen Team

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%)
GoogleGemini 1.5 Flash
Alibaba Cloud / Qwen TeamQvQ-72B-Preview
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Alibaba Cloud / Qwen Team
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.

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