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.

Sat Apr 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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
Sat Apr 04 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

1.9 years ago

QvQ-72B-Preview

Dec 25, 2024

1.3 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
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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

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.
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%.
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.
Key differences include licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Flash is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.