Magistral Small
Parameters
24B
Context Length
128K
Modality
Text
Architecture
Dense
License
Apache 2.0
Release Date
10 Jun 2025
Knowledge Cutoff
Oct 2023
API Pricing (per 1M)
Input: $0.50 · Output: $1.50
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
3x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
128,000 tokens
Consumer
4x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
Rank
#141
| Benchmark | Score | Rank |
|---|---|---|
StackUnseen | 0.346 | 30 |
Graduate-Level QA | 0.682 | 74 |
Agentic Index | 0.01 | 101 |
Coding Index | 0.15 | 124 |
Intelligence Index | 0.09 | 181 |
Rankings
Overall Rank
#141
Coding Rank
#105
About Magistral Small
Magistral Small is an open-source 24B multimodal reasoning model developed by Mistral AI, engineered for transparent, traceable multi-step logic. It supports multilingual reasoning across 24+ languages and native function calling for agentic AI.
Technical Specifications
Attention
Attention Structure
Multi-Head Attention
Attention Heads
32
Key-Value Heads
8
Attention Head Dimension
128
Position Embedding
Absolute Position Embedding
RoPE Theta
1,000,000,000
Sliding Window Attention
No
Sliding Window Size
-
Sliding Window Ratio
-
Linear Attention
-
Linear Attention Ratio
-
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
14,336
Number of Layers
32
FFN Intermediate Size (Dense)
32,768
Multi-Token Prediction Heads
-
Tokenizer
Vocabulary Size
131,072
About Magistral
Magistral is Mistral AI's first reasoning model series, purpose-built for transparent, step-by-step reasoning with native multilingual capabilities. Features chain-of-thought reasoning in the user's language with traceable thought processes. Excels in domain-specific problems requiring multi-step logic, from legal research and financial forecasting to software development and creative storytelling. Supports reasoning across numerous languages including English, French, Spanish, German, Italian, Arabic, Russian, and Chinese.
Other Magistral Models
- No related models available