Model Comparison

GPT-4o vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o outperforms in 1 benchmarks (MMMU-Pro), while Qwen2-VL-72B-Instruct is better at 2 benchmarks (ChartQA, EgoSchema).

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks.

Sat May 02 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).

GPT-4o

Input128,000 tokens

Output16,384 tokens

Qwen2-VL-72B-Instruct

Input- tokens

Output- tokens

Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Qwen2-VL-72B-Instruct support multimodal inputs.

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

GPT-4o

Text

Images

Audio

Video

Qwen2-VL-72B-Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 1 month newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.7 years ago

3w newer

Knowledge Cutoff

When training data ends

Qwen2-VL-72B-Instruct has a documented knowledge cutoff of 2023-06-30, while GPT-4o's cutoff date is not specified.

We can confirm Qwen2-VL-72B-Instruct's training data extends to 2023-06-30, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

GPT-4o

View details

OpenAI

Larger context window (128,000 tokens)

Higher MMMU-Pro score (59.9% vs 46.2%)

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher ChartQA score (88.3% vs 85.7%)

Higher EgoSchema score (77.9% vs 72.2%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen2-VL-72B-Instruct

FAQ

Common questions about GPT-4o vs Qwen2-VL-72B-Instruct.

Which is better, GPT-4o or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct shows notably better performance in the majority of benchmarks. GPT-4o is made by OpenAI and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench_test: 86.5%.

What are the context window sizes for GPT-4o and Qwen2-VL-72B-Instruct?

GPT-4o supports 128K tokens and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct?

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

Who makes GPT-4o and Qwen2-VL-72B-Instruct?

GPT-4o is developed by OpenAI and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.