Model Comparison

GPT-4.1 vs Qwen2.5 VL 72B Instruct

GPT-4.1 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4.1 outperforms in 1 benchmarks (MMMU), while Qwen2.5 VL 72B Instruct is better at 0 benchmarks.

GPT-4.1 significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4.1 specifies input context (1,047,576 tokens). Only GPT-4.1 specifies output context (32,768 tokens).

GPT-4.1

Input1,047,576 tokens

Output32,768 tokens

Qwen2.5 VL 72B Instruct

Input- tokens

Output- tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 and Qwen2.5 VL 72B Instruct support multimodal inputs.

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

GPT-4.1

Text

Images

Audio

Video

Qwen2.5 VL 72B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4.1 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-4.1

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

GPT-4.1 is 3 months newer than Qwen2.5 VL 72B Instruct.

GPT-4.1

Apr 14, 2025

1.1 years ago

2mo newer

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

GPT-4.1

Jun 2024

Qwen2.5 VL 72B Instruct

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Outputs Comparison

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Key Takeaways

GPT-4.1

View details

OpenAI

Larger context window (1,047,576 tokens)

Higher MMMU score (74.8% vs 70.2%)

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

GPT-4.1

Qwen2.5 VL 72B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4.1	Qwen2.5 VL 72B Instruct

FAQ

Common questions about GPT-4.1 vs Qwen2.5 VL 72B Instruct.

Which is better, GPT-4.1 or Qwen2.5 VL 72B Instruct?

GPT-4.1 significantly outperforms across most benchmarks. GPT-4.1 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-4.1 compare to Qwen2.5 VL 72B Instruct in benchmarks?

GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. 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-4.1 and Qwen2.5 VL 72B Instruct?

GPT-4.1 supports 1.0M 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-4.1 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-4.1 and Qwen2.5 VL 72B Instruct?

GPT-4.1 is developed by OpenAI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.