Model Comparison
DeepSeek R1 Zero vs GLM-4.5V
Comparing DeepSeek R1 Zero and GLM-4.5V across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Zero and GLM-4.5V don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
DeepSeek R1 Zero has 563.0B more parameters than GLM-4.5V, making it 521.3% larger.
Context Window
Maximum input and output token capacity
Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
GLM-4.5V supports multimodal inputs, whereas DeepSeek R1 Zero does not.
GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Zero
GLM-4.5V
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Zero was released on 2025-01-20, while GLM-4.5V was released on 2025-08-11.
GLM-4.5V is 7 months newer than DeepSeek R1 Zero.
Jan 20, 2025
1.3 years ago
Aug 11, 2025
9 months ago
6mo 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
DeepSeek R1 Zero
View detailsDeepSeek
No standout differentiators in the data we have for this pair.
GLM-4.5V
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Zero vs GLM-4.5V.