GPT-5 nano vs Qwen2.5-Omni-7B
GPT-5 nano leads the LLM Stats Score 19.6 to 5.3.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5 nano leads the overall LLM Stats Score 19.6 to 5.3, ranking #192 overall.
In the 1 individual benchmarks reported for both models, GPT-5 nano 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-5 nano
- overall performance matters — it scores 19.6 and ranks #192 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2025
Choose Qwen2.5-Omni-7B
- 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
5 reported for GPT-5 nano · 45 for Qwen2.5-Omni-7B
GPT-5 nano outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.
GPT-5 nano 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-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5 nano and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 nano
Qwen2.5-Omni-7B
License
Usage and distribution terms
GPT-5 nano is licensed under a proprietary license, while Qwen2.5-Omni-7B 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-5 nano was released on 2025-08-07, while Qwen2.5-Omni-7B was released on 2025-03-27.
GPT-5 nano is 4 months newer than Qwen2.5-Omni-7B.
Aug 7, 2025
1.1 years ago
4mo newerMar 27, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
May 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 nano and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 nano vs Qwen2.5-Omni-7B.