GLM-4.5-Air vs Qwen3 VL 235B A22B Instruct
Both models are evenly matched across the benchmarks.
Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GLM-4.5-Air outperforms in 1 benchmarks (BFCL-v3), while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU-Pro). Both models are evenly matched across the 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 VL 235B A22B Instruct
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.5-Air outperforms in 1 benchmarks (BFCL-v3), while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU-Pro).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Instruct has 130.0B more parameters than GLM-4.5-Air, making it 122.6% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas GLM-4.5-Air does not.
Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.5-Air
Qwen3 VL 235B A22B Instruct
License
Usage and distribution terms
GLM-4.5-Air is licensed under MIT, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-4.5-Air was released on 2025-07-28, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.
Qwen3 VL 235B A22B Instruct is 2 months newer than GLM-4.5-Air.
Jul 28, 2025
1.1 years ago
Sep 22, 2025
11 months ago
1mo 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 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.5-Air vs Qwen3 VL 235B A22B Instruct.