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Mistral Large 3

Active Parameters

41B

Context Length

256K

Modality

Multimodal

Architecture

Mixture of Experts

KV Cache Rate

352 KB/tok

License

Apache 2.0

Release Date

2 Dec 2025

Knowledge Cutoff

Oct 2024

API Pricing (per 1M)

Input: $0.50 · Output: $1.50

Hardware & System Requirements

Precision

Native

Context

Workload Memory: 1338.90 GB

FP16 · 8K context

Base Weights: 1333.65 GB

KV Cache: 2.75 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

16x NVIDIA H200 141GB

1338.9 / 2030.4 GB usable · TP 8 · PP 2

Determine requirements for your specific workload:

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Runtime requirements

Checkpoint format

FP16

CUDA

>= 11.8

PyTorch

>= 2.1

Transformers

>= 4.46.2

ArchitecturePrecisionAttention kernel

Blackwell, Hopper

Native FP16

FlashAttention-3

Ada Lovelace, Ampere

Native FP16

FlashAttention-2

Architecture Diagram

Evaluation Benchmarks

Rank

#164

BenchmarkScoreRank

0.516

22

General Text

Text Arena

1415

110

Graduate-Level QA

GPQA

0.439

111

Agentic Index

Artificial Analysis

1

115

Web Development

WebDev Arena

1232

118

0.20

134

Intelligence Index

Artificial Analysis

0.09

249

Rankings

Overall Rank

#164

Coding Rank

#126

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.

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

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Base Precision

FP16

Hidden Dimension Size

12,288

Number of Layers

88

FFN Intermediate Size (Dense)

28,672

Tokenizer

Vocabulary Size

32,768

Mixture of Experts

Total Expert Parameters

675.0B

Number of Experts

16

Active Experts

2

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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