Model Comparison

GPT-4 Turbo vs QvQ-72B-PreviewWhich is better in 2026?

Comparing GPT-4 Turbo and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: GPT-4 Turbo vs QvQ-72B-Preview — which is better?

GPT-4 Turbo (by OpenAI) 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.

Choose GPT-4 Turbo if…

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose QvQ-72B-Preview if…

  • 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

No common benchmarks found

GPT-4 Turbo and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas GPT-4 Turbo does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 9 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

QvQ-72B-Preview

Dec 25, 2024

1.5 years ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

GPT-4 Turbo

Dec 2023

QvQ-72B-Preview

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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

Supports multimodal inputs
Has open weights

Detailed Comparison

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

FAQ

Common questions about GPT-4 Turbo vs QvQ-72B-Preview.

Which is better, GPT-4 Turbo or QvQ-72B-Preview?

GPT-4 Turbo (OpenAI) and QvQ-72B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-4 Turbo compare to QvQ-72B-Preview in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for GPT-4 Turbo and QvQ-72B-Preview?

GPT-4 Turbo 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.

What are the main differences between GPT-4 Turbo and QvQ-72B-Preview?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and QvQ-72B-Preview?

GPT-4 Turbo is developed by OpenAI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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