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Mistral Large 3

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11.7KDescargas260Me gustaNov 2024Publicado256K tokensContextoMistral Research LicenseLicencia75 FuerteCalidad

Mistral Large 3 (675B parameters) requires approximately 420.1 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 41B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 484 GB of VRAM.

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Quick specs

Parameters675B (41B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext+vision
Min RAM263.3 GB
Rec. RAM411.8 GB (Q4_K_M)
LicenseMistral Research License
FamilyMistral Large
Vision Code Chat Reasoning

About this model

Mistral-Large-Instruct-2411 is an advanced dense Large Language Model (LLM) of 123B parameters with state-of-the-art reasoning, knowledge and coding capabilities extending Mistral-Large-Instruct-2407 with better Long Context, Function Calling and System Prompt.

  • Multi-lingual by design:: Dozens of languages supported, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean,...
  • Proficient in coding:: Trained on 80+ coding languages such as Python, Java, C, C++, Javacsript, and Bash. Also trained on more specific languages...
  • Agent-centric:: Best-in-class agentic capabilities with native function calling and JSON outputting
  • Advanced Reasoning:: State-of-the-art mathematical and reasoning capabilities
  • Mistral Research License:: Allows usage and modification for non-commercial usages

Tu hardware

Detectando...

Opciones de cuantización

Estimaciones de VRAM por nivel de cuantización

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
263.3 GB
Low
Q3_K_S
3
330.8 GB
Low
NVFP4
4
378.0 GB
Medium
Q4_K_M
4
411.8 GB
Medium
Q5_K_M
5
486.0 GB
High
Q6_K
6
553.5 GB
High
Q8_0
8
722.3 GB
Very High
F16
16
1383.7 GB
Maximum

Quality benchmarks

Mistral Large 3 benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+92.0%
Aider Polyglot
LiveCodeBench34.4%

Reasoning

MMLU-Pro85.5%
GPQA Diamond43.9%
MATH-50049.5%
ARC Challenge

General

Chatbot Arena
IFEval84.0%

Source: official · 2025-12-18

Compatibilidad de hardware

Estimaciones de encaje en todo el hardware

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Computing compatibility...

Desglose de memoria

Reference: RTX 2060 6GB

Weights411.8 GB
KV Cache5.4 GB
Runtime2.4 GB
Headroom0.6 GB

Preguntas frecuentes

FAQ — Mistral Large 3

Ver también