GLM-4.5-Air vs Qwen3.8-Flash-Next
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-4.5-Air outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, Humanity's Last Exam). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-4.5-Air
- you are already invested in the Zhipu AI ecosystem
Choose Qwen3.8-Flash-Next
- 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
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.5-Air outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 2 benchmarks (GPQA, Humanity's Last Exam).
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3.8-Flash-Next has 74.0B more parameters than GLM-4.5-Air, making it 69.8% larger.
Input Capabilities
Supported data types and modalities
Qwen3.8-Flash-Next supports multimodal inputs, whereas GLM-4.5-Air does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.5-Air
Qwen3.8-Flash-Next
License
Usage and distribution terms
GLM-4.5-Air is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
GLM-4.5-Air was released on 2025-07-28, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 13 months newer than GLM-4.5-Air.
Jul 28, 2025
1.1 years ago
Aug 26, 2026
0 days ago
1.1yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.5-Air and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.5-Air vs Qwen3.8-Flash-Next.