Mistral

Mistral Small 4 119B

Name: Mistral Small 4 119B
Rating: 92 (29 reviews)
Author: Mistral

Frontier

HuggingFace

52.6KDownloads380CurtidasJan 2026Publicado256K tokensContextoMistral Research LicenseLicença94 ExcepcionalQualidade

Mistral Small 4 119B (119B parameters) requires approximately 79.5 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 6.5B 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 92 GB of VRAM.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run Mistral Small 4 119B on your machine.

Run

lms load Mistral-Small-4-119B-2603 && lms server start

Quick specs

Parameters119B (6.5B active)

Architecturemoe (MoE)

Context256K tokens

Modalitytext+vision

Min RAM46.4 GB

Rec. RAM72.6 GB (Q4_K_M)

LicenseMistral Research License

FamilyMistral Small

✓ Vision✓ Code✓ Chat✓ Reasoning

About this model

Mistral Small 4 is a powerful hybrid model capable of acting as both a general instruction model and a reasoning model. It unifies the capabilities of three different model families—Instruct, Reasoning (previously called Magistral), and Devstral—into a single, unified model.

•MoE: 128 experts, 4 active
•119B parameters: , with 6.5B activated per token
•256k context length:
•Multimodal input: Accepts both text and image input, with text output
•Instruct and Reasoning functionalities: with function calls (reasoning effort configurable per request)

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Escolhas rápidas

Melhor custo-benefícioS

Mac Studio M3 Ultra 256GB~$6,999 — 38 tok/s

Melhor no geralS

AMD Instinct MI250X 128GB~$15,000 — 109 tok/s

Melhor hardware

Melhores opções para Mistral Small 4 119B

AMD Instinct MI250X 128GBS

128 GB

AMD Instinct MI300A 128GBS

128 GB

AMD Instinct MI250 128GBS

128 GB

Gaudi 3 128GBS

128 GB

Intel Data Center GPU Max 1550 128GBS

128 GB

Rodar este modelo

Mistral Small 4 119B on AMD Instinct MI250X 128GB Mistral Small 4 119B on AMD Instinct MI300A 128GB Mistral Small 4 119B on AMD Instinct MI250 128GB

Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	46.4 GB	Low	—
Q3_K_S	3	58.3 GB	Low	—
NVFP4	4	66.6 GB	Medium	—
Q4_K_M	4	72.6 GB	Medium	—
Q5_K_M	5	85.7 GB	High	—
Q6_K	6	97.6 GB	High	—
Q8_0	8	127.3 GB	Very High	—
F16	16	244.0 GB	Maximum	—

Quality benchmarks

Mistral Small 4 119B benchmark scores

Benchmark verified

Coding

SWE-bench Verified—

HumanEval+—

Aider Polyglot—

LiveCodeBench63.6%

Reasoning

MMLU-Pro78.0%

GPQA Diamond71.2%

MATH-500—

ARC Challenge—

Source: official · 2026-03-16

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

Abrir calculadora

Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights72.6 GB

KV Cache5.4 GB

Runtime0.9 GB

Headroom0.6 GB

Perguntas frequentes

FAQ — Mistral Small 4 119B

Veja também

Guia de Quantização Metodologia de Pontuação Abrir calculadora