Model Comparison
DeepSeek VL2 vs GLM-4.5
Comparing DeepSeek VL2 and GLM-4.5 across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek VL2 and GLM-4.5 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
GLM-4.5 has 328.0B more parameters than DeepSeek VL2, making it 1214.8% larger.
Context Window
Maximum input and output token capacity
GLM-4.5 accepts 131,072 input tokens compared to DeepSeek VL2's 129,280 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.
Input Capabilities
Supported data types and modalities
DeepSeek VL2 supports multimodal inputs, whereas GLM-4.5 does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2
GLM-4.5
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while GLM-4.5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while GLM-4.5 was released on 2025-07-28.
GLM-4.5 is 8 months newer than DeepSeek VL2.
Dec 13, 2024
1.3 years ago
Jul 28, 2025
8 months ago
7mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. GLM-4.5 is available from DeepInfra, Fireworks, Novita.
DeepSeek VL2
GLM-4.5
Outputs Comparison
Key Takeaways
DeepSeek VL2
View detailsDeepSeek
GLM-4.5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about DeepSeek VL2 vs GLM-4.5