Model Comparison

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

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

Tue Apr 07 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
Tue Apr 07 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 1.5 Pro

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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 Pro

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro 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 Pro.

Gemini 1.5 Pro

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 Pro 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 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Gemini 1.5 Pro

Nov 2023

QvQ-72B-Preview

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher MathVista score (71.4% vs 68.1%)
Higher MMMU score (70.3% vs 65.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Gemini 1.5 Pro vs QvQ-72B-Preview

QvQ-72B-Preview significantly outperforms across most benchmarks. Gemini 1.5 Pro 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 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
Gemini 1.5 Pro supports 2.1M 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 Pro is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.