All tasks / Text & knowledge / Chat & assistants

Best local model for chat & assistants on a 24 GB GPU

Open-weights models whose approximate minimum GPU memory is 24 GB or less, ranked from public benchmarks. Memory figures are approximate; quantised builds can need less.

ATop ranked: Gemma 4 (31B) (Google DeepMind), 1,452 on LMArena Text Arena (overall, style control).10 options listed · data verified 19 Oct 2026

Ranked list

Best local model for chat & assistants on a 24 GB GPU
TierNameApproachRunsRated byPriceSkill
A Gemma 4 (31B)
Google DeepMind
ModelsLocal1,452 on LMArena Text Arena (overall, style control)~19 GB VRAM—
A Qwen3.8-27B
Alibaba (Qwen)
ModelsLocal1,438 on LMArena Text Arena (overall, style control)~17 GB VRAM—
A Muse Glimmer 30B
Meta
ModelsLocal1,425 on LMArena Text Arena (overall, style control)~19 GB VRAM—
B Nemotron 3.5 Lightning 30B-A3B
NVIDIA
ModelsLocal1,351 on LMArena Text Arena (overall, style control)~20 GB VRAM—
C Granite 4.2 30B
IBM
ModelsLocal1,340 on LMArena Text Arena (overall, style control)~18 GB VRAM—
C Olmo 3.1 32B
Allen Institute for AI (Ai2)
ModelsLocal1,329 on LMArena Text Arena (overall, style control)~20 GB VRAM—
C gpt-oss-20b
OpenAI
ModelsLocal1,317 on LMArena Text Arena (overall, style control)~16 GB VRAM—
C K2-Horizon-MoVA-36B-A4B
MBZUAI Institute of Foundation Models
ModelsLocal25 on Artificial Analysis Intelligence Index~23 GB VRAM—
C Nemotron 3.5 Bolt 74B-A9B
NVIDIA
ModelsLocal21 on Artificial Analysis Intelligence Index~24 GB VRAM—
C Ministral 3 14B (2512)
Mistral AI
ModelsLocal6 on Artificial Analysis Intelligence Index~9 GB VRAM—

Tiers come only from public benchmarks (LMArena Text Arena (overall, style control), Artificial Analysis Intelligence Index); tools without a result of their own inherit the tier of the best model they offer. How we rank.