Mistral Medium 3.5 128B
Parameters
-
Context Length
262K
Modality
Multimodal
Architecture
Dense
License
Modified MIT
Release Date
1 Apr 2026
Knowledge Cutoff
-
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
5x RTX 4090
24GB VRAM
Datacenter
2x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for Mistral Medium 3.5 128B available.
Rankings
Overall Rank
-
Coding Rank
-
About Mistral Medium 3.5 128B
Mistral Medium 3.5 is a flagship dense 128B parameter multimodal model from Mistral AI. It features a 262k context window and configurable reasoning modes, combining reasoning, coding, and multilingual understanding with native vision capabilities.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
96
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
Absolute Position Embedding
RoPE Theta
1,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
No
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
Swish
Dimensions
Hidden Dimension Size
12,288
Number of Layers
88
FFN Intermediate Size (Dense)
28,672
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
131,072
About Mistral Medium 3.5
Mistral Medium 3.5 is a family of flagship dense multimodal models from Mistral AI, combining reasoning, coding, and multilingual capabilities.
Other Mistral Medium 3.5 Models
- No related models available