GPT-5 nano vs Qwen3.8-27B
Qwen3.8-27B significantly outperforms across most benchmarks.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-5 nano outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8-27B significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-5 nano
- you want predictable pricing at $0.05/M input and $0.40/M output
Choose Qwen3.8-27B
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5 nano outperforms in 0 benchmarks, while Qwen3.8-27B is better at 2 benchmarks (GPQA, Humanity's Last Exam).
Qwen3.8-27B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind 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
Supported data types and modalities
Both GPT-5 nano and Qwen3.8-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5 nano
Qwen3.8-27B
License
Usage and distribution terms
GPT-5 nano is licensed under a proprietary license, while Qwen3.8-27B 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 Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 12 months newer than GPT-5 nano.
Aug 7, 2025
1.0 years ago
Aug 14, 2026
1 weeks ago
1.0yr newerKnowledge Cutoff
When training data ends
GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.
May 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5 nano and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5 nano vs Qwen3.8-27B.