Command R+ vs GLM-4.5V Comparison
Comparing Command R+ and GLM-4.5V across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Command R+ 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
Pricing Analysis
Price comparison per million tokens
For input processing, Command R+ ($0.25/1M tokens) is 2.2x cheaper than GLM-4.5V ($0.55/1M tokens).
For output processing, Command R+ ($1.00/1M tokens) is 2.2x cheaper than GLM-4.5V ($2.19/1M tokens).
In conclusion, GLM-4.5V is more expensive than Command R+.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-4.5V has 4.0B more parameters than Command R+, making it 3.8% larger.
Context Window
Maximum input and output token capacity
GLM-4.5V accepts 131,072 input tokens compared to Command R+'s 128,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Command R+ is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-4.5V supports multimodal inputs, whereas Command R+ does not.
GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.
Command R+
GLM-4.5V
License
Usage and distribution terms
Command R+ is licensed under CC BY-NC, while GLM-4.5V uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
CC BY-NC
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Command R+ was released on 2024-08-30, while GLM-4.5V was released on 2025-08-11.
GLM-4.5V is 12 months newer than Command R+.
Aug 30, 2024
1.5 years ago
Aug 11, 2025
7 months ago
11mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Command R+ is available from Cohere, Bedrock. GLM-4.5V is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.
Command R+
GLM-4.5V
Outputs Comparison
Key Takeaways
Command R+
View detailsCohere
GLM-4.5V
View detailsZhipu AI
Detailed Comparison
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