GPT-4.1 nano vs Qwen2.5 VL 7B Instruct
GPT-4.1 nano and Qwen2.5 VL 7B Instruct are closely matched at 1.9 and 6.8 on the LLM Stats Score.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4.1 nano and Qwen2.5 VL 7B Instruct are closely matched on the overall LLM Stats Score at 1.9 and 6.8.
In the 1 individual benchmarks reported for both models, Qwen2.5 VL 7B Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.
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 VL 7B Instruct
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 · 32 for Qwen2.5 VL 7B Instruct
GPT-4.1 nano outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 1 benchmark (MMMU).
Qwen2.5 VL 7B Instruct significantly outperforms across most 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
Both GPT-4.1 nano and Qwen2.5 VL 7B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4.1 nano
Qwen2.5 VL 7B Instruct
License
Usage and distribution terms
GPT-4.1 nano is licensed under a proprietary license, while Qwen2.5 VL 7B 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 VL 7B Instruct was released on 2025-01-26.
GPT-4.1 nano is 3 months newer than Qwen2.5 VL 7B Instruct.
Apr 14, 2025
1.4 years ago
2mo newerJan 26, 2025
1.6 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 7B 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 7B 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 VL 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 nano vs Qwen2.5 VL 7B Instruct.