Model Comparison

GPT-4.1 nano vs Qwen2.5 32B InstructWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: GPT-4.1 nano vs Qwen2.5 32B Instruct — which is better?

GPT-4.1 nano (by OpenAI) and Qwen2.5 32B 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 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 1 benchmark (MMLU). Both models are evenly matched across the benchmarks.

Choose GPT-4.1 nano if…

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

Choose Qwen2.5 32B Instruct if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4.1 nano outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 1 benchmark (MMLU).

Both models are evenly matched across the 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 32B Instruct
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 nano supports multimodal inputs, whereas Qwen2.5 32B Instruct does not.

GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1 nano

Text
Images
Audio
Video

Qwen2.5 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 nano is licensed under a proprietary license, while Qwen2.5 32B Instruct uses Apache 2.0.

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 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Qwen2.5 32B Instruct was released on 2024-09-19.

GPT-4.1 nano is 7 months newer than Qwen2.5 32B Instruct.

GPT-4.1 nano

Apr 14, 2025

1.3 years ago

6mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Qwen2.5 32B 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 32B Instruct's cutoff date.

GPT-4.1 nano

May 2024

Qwen2.5 32B Instruct

—

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Higher GPQA score (50.3% vs 49.5%)
Alibaba Cloud / Qwen Team

Qwen2.5 32B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher MMLU score (83.3% vs 80.1%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4.1 nano and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct

FAQ

Common questions about GPT-4.1 nano vs Qwen2.5 32B Instruct.

Which is better, GPT-4.1 nano or Qwen2.5 32B Instruct?

Both models are evenly matched across the benchmarks. GPT-4.1 nano is made by OpenAI and Qwen2.5 32B 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 32B 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 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for GPT-4.1 nano and Qwen2.5 32B Instruct?

GPT-4.1 nano supports 1.0M tokens and Qwen2.5 32B 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 32B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 nano and Qwen2.5 32B Instruct?

GPT-4.1 nano is developed by OpenAI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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