Mage-VL Cowork
Parameters
4B
Context Length
262K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
30 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
262,144 tokens
Consumer
3x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Mage-VL Cowork available.
Rankings
Overall Rank
-
Coding Rank
-
About Mage-VL Cowork
Mage-VL Cowork is a multimodal vision-language model developed by Microsoft tailored for collaborative workplace interfaces and GUI interaction. It leverages an advanced one-vision visual backbone to parse complex user interface workflows.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
5,000,000
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,560
Number of Layers
36
FFN Intermediate Size (Dense)
9,728
Tokenizer
Vocabulary Size
151,936
Resources
About Mage-VL
The Mage-VL model family developed by Microsoft.
Other Mage-VL Models
- No related models available