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Codestral 25.01

Parameters

-

Context Length

32K

Modality

Text

Architecture

Dense

KV Cache Rate

224 KB/tok

License

Apache 2.0

Release Date

15 Jan 2025

Knowledge Cutoff

-

API Pricing (per 1M)

Input: $1.00 · Output: $3.00

Hardware Sizing

Hardware sizing is unavailable because this model parameter count is undisclosed.

Open in VRAM Calculator

Architecture Diagram

Input TokensToken EmbeddingPosition: AbsoluteHidden: 6.1k · Context: 32K · Vocab: 32.8kx 56 layersRMSNormPre-AttentionMulti-Head Attention48Q / 8KV headsHead dim: 128+RMSNormPre-FFNFeed-Forward NetworkSwiGLUIntermediate: 16.4k+Final RMSNormOutput Logits

Evaluation Benchmarks

BenchmarkScoreRank

Coding

Archived
Aider Coding

0.11

23

Rankings

Overall Rank

-

Coding Rank

-

About Codestral 25.01

Codestral 25.01 is Mistral AI's specialized coding model with deep understanding of software development. Features enhanced capabilities for code generation, completion, debugging, and refactoring across multiple programming languages. Trained on diverse codebases with focus on modern development practices, design patterns, and code quality. Excels at understanding developer intent and generating idiomatic, well-structured code. January 2025 release brings improved accuracy and expanded language support.

Technical Specifications

Attention

Attention Structure

Multi-Head Attention

Attention Heads

48

Key-Value Heads

8

Attention Head Dimension

128

Position Embedding

Absolute Position Embedding

RoPE Theta

1,000,000

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Hidden Dimension Size

6,144

Number of Layers

56

FFN Intermediate Size (Dense)

16,384

Tokenizer

Vocabulary Size

32,768

About Codestral

Codestral is a Mistral AI model designed for code generation and comprehension. It supports over 80 programming languages. The model family includes a 22 billion parameter variant.


Other Codestral Models
  • No related models available