作者： Jakub Rusinowski · 最后更新： 2026年6月26日
These are the strongest local models that fit entirely in 32 GB of VRAM, ranked by capability, with the quantization level and estimated tokens/sec needed to fit.
| Qwen 2.5 Family — Qwen 2.5 Coder 32B | Q4_K_M · 19.32 GB · ~3 tok/s on Apple M4 |
| Llama 3.3 — Llama 3.3 70B Instruct | Q2_K_XS (Tight) · 20.212500000000002 GB · ~3 tok/s on Apple M4 |
| Qwen 3 — Qwen 3 32B | Q4_K_M · 19.802999999999997 GB · ~3 tok/s on Apple M4 |
| DeepSeek R1 — DeepSeek R1 Distill Qwen 32B | Q4_K_M · 19.32 GB · ~3 tok/s on Apple M4 |
| Qwen 2.5 Family — Qwen 2.5 14B Instruct | Q4_K_M · 8.4525 GB · ~7 tok/s on Apple M4 |
| Gemma 4 (Legacy Listing — Unverified) — Gemma 4 27B ⭐ | Q4_K_M · 16.30125 GB · ~4 tok/s on Apple M4 |
| Qwen 3 — Qwen 3 14B | Q4_K_M · 8.935500000000001 GB · ~7 tok/s on Apple M4 |
| Qwen 3.7 — Qwen 3.7 35B-A3B | Q4_K_M · 21.13125 GB · ~22 tok/s on Apple M4 |
| Codestral — Codestral 22B | Q4_K_M · 13.40325 GB · ~5 tok/s on Apple M4 |
| Qwen 3.6 — Qwen 3.6 35B-A3B | Q4_K_M · 21.13125 GB · ~22 tok/s on Apple M4 |
| DeepSeek R1 — DeepSeek R1 Distill Qwen 14B | Q4_K_M · 8.4525 GB · ~7 tok/s on Apple M4 |
| Phi-4 Family — Phi-4 (14B) | Q4_K_M · 8.4525 GB · ~7 tok/s on Apple M4 |
| Gemma 4 — Gemma 4 31B | Q4_K_M · 18.71625 GB · ~3 tok/s on Apple M4 |
| Qwen 3.5 (Legacy Listing — Unverified) — Qwen 3.5 32B | Q4_K_M · 19.32 GB · ~3 tok/s on Apple M4 |
| Gemma 3 — Gemma 3 27B Instruct | Q4_K_M · 16.30125 GB · ~3 tok/s on Apple M4 |
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Qwen 2.5 Family, Llama 3.3, Qwen 3, DeepSeek R1, Qwen 2.5 Family all fit in 32 GB VRAM.
Apple M4, Apple M5, NVIDIA GeForce RTX 5090, Apple M2 Pro.