Model Comparison

GPT-4o mini 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

GPT-4o mini outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).

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

Thu Apr 02 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
Thu Apr 02 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
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 GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and QvQ-72B-Preview support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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.

GPT-4o mini

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 5 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

QvQ-72B-Preview

Dec 25, 2024

1.3 years ago

5mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

GPT-4o mini

Oct 2023

QvQ-72B-Preview

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher MathVista score (71.4% vs 56.7%)
Higher MMMU score (70.3% vs 59.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about GPT-4o mini vs QvQ-72B-Preview

QvQ-72B-Preview significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI 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.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
GPT-4o mini supports 128K 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.
GPT-4o mini is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.