Parameters
128B
Context Length
262K
Modality
Multimodal
Architecture
Dense
License
Modified MIT
Release Date
1 Apr 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Input: $0.75 · Output: $3.75
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
13x RTX 4090
24GB VRAM
Datacenter
4x NVIDIA A100
80GB VRAM
Apple Silicon
3x Apple M3 Max
128GB VRAM
262,144 tokens
Consumer
18x RTX 4090
24GB VRAM
Datacenter
5x NVIDIA A100
80GB VRAM
Apple Silicon
4x Apple M3 Max
128GB VRAM
Rank
#148
| Benchmark | Score | Rank |
|---|---|---|
StackUnseen | 0.481 | 23 |
Agent Arena | -12.65 | 60 |
Coding Index | 0.47 | 92 |
General Text | 1426 | 95 |
Agentic Index | 0.07 | 98 |
Web Development | 1264 | 109 |
Intelligence Index | 0.14 | 220 |
Overall Rank
#148
Coding Rank
#112
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.
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
Normalization
RMS Normalization
Activation Function
Swish
Dimensions
Hidden Dimension Size
12,288
Number of Layers
88
FFN Intermediate Size (Dense)
28,672
Tokenizer
Vocabulary Size
131,072
Mistral Medium 3.5 is a family of flagship dense multimodal models from Mistral AI, combining reasoning, coding, and multilingual capabilities.
Assistant
Online