Model Comparison
GLM-4.5-Air vs Qwen3 VL 8B Instruct
GLM-4.5-Air significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-4.5-Air outperforms in 2 benchmarks (BFCL-v3, MMLU-Pro), while Qwen3 VL 8B Instruct is better at 0 benchmarks.
GLM-4.5-Air significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
GLM-4.5-Air has 97.0B more parameters than Qwen3 VL 8B Instruct, making it 1077.8% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 8B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 8B Instruct specifies output context (32,768 tokens).
Input Capabilities
Supported data types and modalities
Qwen3 VL 8B Instruct supports multimodal inputs, whereas GLM-4.5-Air does not.
Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.5-Air
Qwen3 VL 8B Instruct
License
Usage and distribution terms
GLM-4.5-Air is licensed under MIT, while Qwen3 VL 8B 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 8B Instruct was released on 2025-09-22.
Qwen3 VL 8B Instruct is 2 months newer than GLM-4.5-Air.
Jul 28, 2025
9 months ago
Sep 22, 2025
7 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
Key Takeaways
GLM-4.5-Air
View detailsZhipu AI
Qwen3 VL 8B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GLM-4.5-Air vs Qwen3 VL 8B Instruct