Model Comparison

GPT-4.1 nano vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Verdict: GPT-4.1 nano vs Qwen2.5 VL 72B Instruct — which is better?

GPT-4.1 nano (by OpenAI) and Qwen2.5 VL 72B Instruct (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-4.1 nano outperforms in 0 benchmarks, while Qwen2.5 VL 72B Instruct is better at 1 benchmark (MMMU). Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Choose GPT-4.1 nano if…

  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2.5 VL 72B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Qwen2.5 VL 72B Instruct significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 nano 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 nano

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 nano 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 nano

Proprietary

Closed source

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

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

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

GPT-4.1 nano

Apr 14, 2025

1.3 years ago

2mo newer
Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Qwen2.5 VL 72B Instruct's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Qwen2.5 VL 72B Instruct's cutoff date.

GPT-4.1 nano

May 2024

Qwen2.5 VL 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,047,576 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher MMMU score (70.2% vs 55.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4.1 nano and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

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

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

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

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. 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 nano and Qwen2.5 VL 72B Instruct?

GPT-4.1 nano 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 nano 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 nano and Qwen2.5 VL 72B Instruct?

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