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Mistral Large 3

Active Parameters

41B

Context Length

256K

Modality

Multimodal

Architecture

Mixture of Experts (MoE)

License

Apache 2.0

Release Date

2 Dec 2025

Knowledge Cutoff

Oct 2024

API Pricing (per 1M)

Input: $0.50 · Output: $1.50

System Requirements

VRAM requirements for different quantization methods and context sizes

1,024 tokens

87.99 GB VRAM

Consumer

4x RTX 4090

24GB VRAM

Datacenter

2x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

256,000 tokens

184.49 GB VRAM

Consumer

9x RTX 4090

24GB VRAM

Datacenter

3x NVIDIA A100

80GB VRAM

Apple Silicon

2x Apple M3 Max

128GB VRAM

Architecture Diagram

Input TokensToken EmbeddingPosition: AbsoluteHidden: 12.3k · Context: 256K · Vocab: 32.8kx 88 layersRMSNormPre-AttentionMulti-Head Attention96Q / 8KV headsHead dim: 128+RMSNormPre-FFNSparse MoE FFN (2/16 experts)SwiGLU+Final RMSNormOutput Logits

Evaluation Benchmarks

Rank

#128

BenchmarkScoreRank

0.516

22

Web Development

WebDev Arena

1230

85

General Text

Text Arena

1413

89

Graduate-Level QA

GPQA

0.439

96

Agentic Index

Artificial Analysis

0.02

101

0.20

117

Intelligence Index

Artificial Analysis

0.10

175

Rankings

Overall Rank

#128

Coding Rank

#96

About Mistral Large 3

Mistral Large 3 is Mistral AI's 675B flagship multimodal Mixture-of-Experts foundation model activating 41B parameters for enterprise RAG and agents. It features native vision processing, FP8/NVFP4 quantization, and a 256K token context window.

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

-

Linear Attention Ratio

-

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Hidden Dimension Size

12,288

Number of Layers

88

FFN Intermediate Size (Dense)

28,672

Multi-Token Prediction Heads

-

Tokenizer

Vocabulary Size

32,768

Mixture of Experts

Total Expert Parameters

675.0B

Number of Experts

16

Active Experts

2

Shared Experts

-

FFN Intermediate Size (per Expert)

-

Dense Layers Before MoE

-

About Mistral Large 3

Mistral Large 3 is a state-of-the-art general-purpose multimodal model with a granular Mixture-of-Experts architecture. With 675B total parameters and 41B active parameters, it delivers frontier performance for production-grade assistants, retrieval-augmented systems, and complex enterprise workflows.


Other Mistral Large 3 Models
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