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
| Tier | Name | Approach | Runs | Rated by | Price | Skill |
|---|---|---|---|---|---|---|
| A | Google DeepMind | Models | Local | 1,452 on LMArena Text Arena (overall, style control) | ~19 GB VRAM | — |
| A | Alibaba (Qwen) | Models | Local | 1,438 on LMArena Text Arena (overall, style control) | ~17 GB VRAM | — |
| A | Meta | Models | Local | 1,425 on LMArena Text Arena (overall, style control) | ~19 GB VRAM | — |
| B | NVIDIA | Models | Local | 1,351 on LMArena Text Arena (overall, style control) | ~20 GB VRAM | — |
| C | IBM | Models | Local | 1,340 on LMArena Text Arena (overall, style control) | ~18 GB VRAM | — |
| C | Allen Institute for AI (Ai2) | Models | Local | 1,329 on LMArena Text Arena (overall, style control) | ~20 GB VRAM | — |
| C | OpenAI | Models | Local | 1,317 on LMArena Text Arena (overall, style control) | ~16 GB VRAM | — |
| C | MBZUAI Institute of Foundation Models | Models | Local | 25 on Artificial Analysis Intelligence Index | ~23 GB VRAM | — |
| C | NVIDIA | Models | Local | 21 on Artificial Analysis Intelligence Index | ~24 GB VRAM | — |
| C | Mistral AI | Models | Local | 6 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.