GPT-4.1 nano vs Qwen2.5 32B Instruct
Qwen2.5 32B Instruct leads the LLM Stats Score 7.8 to 1.9.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 32B Instruct leads the overall LLM Stats Score 7.8 to 1.9, ranking #273 overall.
The models split the 2 individual benchmarks reported for both models evenly.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4.1 nano
- you want the most recent training data — it shipped Apr 2025
Choose Qwen2.5 32B Instruct
- overall performance matters — it scores 7.8 and ranks #273 on LLM Stats
- your work emphasizes coding — it leads those capability indexes
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-4.1 nano · 18 for Qwen2.5 32B Instruct
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.
Human preference
Blind head-to-head votes and playground preference scores
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).
Input capabilities
Documented input modalities across available providers
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
Qwen2.5 32B Instruct
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.
Proprietary
Closed source
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.
Apr 14, 2025
1.4 years ago
6mo newerSep 19, 2024
2.0 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.
May 2024
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Outputs Comparison
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.
FAQ
Common questions about GPT-4.1 nano vs Qwen2.5 32B Instruct.