Model Comparison

GPT-4o vs Qwen2.5 VL 72B Instruct

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4o outperforms in 3 benchmarks (AI2D, MMMU, MMMU-Pro), while Qwen2.5 VL 72B Instruct is better at 3 benchmarks (ChartQA, DocVQA, EgoSchema).

Both models are evenly matched across the 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

Qwen2.5 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 Qwen2.5 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

Qwen2.5 VL 72B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen2.5 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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 6 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.3 years ago

5mo 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

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Key Takeaways

GPT-4o

View details

OpenAI

Larger context window (128,000 tokens)

Higher AI2D score (94.2% vs 88.4%)

Higher MMMU score (72.2% vs 70.2%)

Higher MMMU-Pro score (59.9% vs 51.1%)

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher ChartQA score (89.5% vs 85.7%)

Higher DocVQA score (96.4% vs 92.8%)

Higher EgoSchema score (76.2% vs 72.2%)

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen2.5 VL 72B Instruct

FAQ

Common questions about GPT-4o vs Qwen2.5 VL 72B Instruct.

Which is better, GPT-4o or Qwen2.5 VL 72B Instruct?

Both models are evenly matched across the benchmarks. GPT-4o is made by OpenAI and Qwen2.5 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 Qwen2.5 VL 72B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for GPT-4o and Qwen2.5 VL 72B Instruct?

GPT-4o supports 128K tokens and Qwen2.5 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 Qwen2.5 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 Qwen2.5 VL 72B Instruct?

GPT-4o is developed by OpenAI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.