Model Comparison

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

Both models are evenly matched across the benchmarks.

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

GPT-4o (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.

GPT-4o outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 1 benchmark (MathVista). Both models are evenly matched across the benchmarks.

Choose GPT-4o if…

  • you want predictable pricing at $2.50/M input and $10.00/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
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 1 benchmarks (MMMU), while QvQ-72B-Preview is better at 1 benchmark (MathVista).

Both models are evenly matched across the benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while QvQ-72B-Preview was released on 2024-12-25.

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

GPT-4o

Aug 6, 2024

1.9 years ago

QvQ-72B-Preview

Dec 25, 2024

1.5 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Higher MMMU score (72.2% vs 70.3%)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher MathVista score (71.4% vs 61.4%)

Detailed Comparison

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

FAQ

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

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

Both models are evenly matched across the benchmarks. GPT-4o 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.

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

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

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

GPT-4o 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-4o and QvQ-72B-Preview?

Key differences include licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

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

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

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