MacBook Air M4 32GB
Apple · M4 · 32GB Unified Memory · Can run 41 models
Buy Apple
| Manufacturer | Apple |
| Unified Mem | 32 GB |
| Chip | M4 |
| CPU Cores | 10 |
| GPU Cores | 10 |
| Neural Engine | 16 |
| Bandwidth | 120 GB/s |
| MSRP | $1,299 |
| Released | Mar 12, 2025 |
AI Notes
The MacBook Air M4 32GB is the best ultrabook for local AI. With 32GB unified memory, it handles 13B models comfortably and can run 30B models with Q4 quantization. The fanless design runs completely silent. An excellent portable development machine for AI work.
Compatible Models
| Model | Parameters | Best Quant | VRAM Used | Fit | Est. Speed |
|---|---|---|---|---|---|
| Gemma 3 1B | 1B | Q8_0 | 2 GB | Runs | ~60 tok/s |
| Llama 3.2 1B | 1B | Q8_0 | 3 GB | Runs | ~40 tok/s |
| DeepSeek R1 1.5B | 1.5B | Q8_0 | 3 GB | Runs | ~40 tok/s |
| Gemma 2 2B | 2B | Q8_0 | 4 GB | Runs | ~30 tok/s |
| Llama 3.2 3B | 3B | Q8_0 | 5 GB | Runs | ~24 tok/s |
| Phi-3 Mini 3.8B | 3.8B | Q8_0 | 5.8 GB | Runs | ~21 tok/s |
| Phi-4 Mini 3.8B | 3.8B | Q4_K_M | 4.5 GB | Runs | ~27 tok/s |
| Gemma 3 4B | 4B | Q4_K_M | 5 GB | Runs | ~24 tok/s |
| Qwen 3 4B | 4B | Q4_K_M | 4.5 GB | Runs | ~27 tok/s |
| DeepSeek R1 7B | 7B | Q8_0 | 9 GB | Runs | ~13 tok/s |
| Mistral 7B | 7B | Q8_0 | 9 GB | Runs | ~13 tok/s |
| Qwen 2.5 7B | 7B | Q8_0 | 9 GB | Runs | ~13 tok/s |
| Qwen 2.5 Coder 7B | 7B | Q8_0 | 9 GB | Runs | ~13 tok/s |
| DeepSeek R1 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~16 tok/s |
| Llama 3.1 8B | 8B | Q8_0 | 10 GB | Runs | ~12 tok/s |
| Qwen 3 8B | 8B | Q4_K_M | 7.5 GB | Runs | ~16 tok/s |
| Gemma 2 9B | 9B | Q8_0 | 11 GB | Runs | ~11 tok/s |
| Gemma 3 12B | 12B | Q4_K_M | 10.5 GB | Runs | ~11 tok/s |
| Mistral Nemo 12B | 12B | Q4_K_M | 9.5 GB | Runs | ~13 tok/s |
| DeepSeek R1 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~12 tok/s |
| Phi-4 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~12 tok/s |
| Qwen 2.5 14B | 14B | Q4_K_M | 9.9 GB | Runs | ~12 tok/s |
| Qwen 2.5 Coder 14B | 14B | Q4_K_M | 12 GB | Runs | ~10 tok/s |
| Qwen 3 14B | 14B | Q4_K_M | 12 GB | Runs | ~10 tok/s |
| StarCoder2 15B | 15B | Q8_0 | 17 GB | Runs | ~7 tok/s |
| Codestral 22B | 22B | Q4_K_M | 14.7 GB | Runs | ~8 tok/s |
| Devstral 24B | 24B | Q4_K_M | 17 GB | Runs | ~7 tok/s |
| Mistral Small 3.1 24B | 24B | Q4_K_M | 18 GB | Runs | ~7 tok/s |
| Gemma 2 27B | 27B | Q4_K_M | 17.7 GB | Runs | ~7 tok/s |
| Gemma 3 27B | 27B | Q4_K_M | 20 GB | Runs | ~6 tok/s |
| Qwen 3 30B-A3B (MoE) | 30B | Q4_K_M | 22 GB | Runs | ~5 tok/s |
| DeepSeek R1 32B | 32B | Q4_K_M | 20.7 GB | Runs | ~6 tok/s |
| Qwen 2.5 32B | 32B | Q4_K_M | 20.7 GB | Runs | ~6 tok/s |
| Qwen 2.5 Coder 32B | 32B | Q4_K_M | 23 GB | Runs | ~5 tok/s |
| Qwen 3 32B | 32B | Q4_K_M | 23 GB | Runs | ~5 tok/s |
| Command R 35B | 35B | Q4_K_M | 22.5 GB | Runs | ~5 tok/s |
| Mixtral 8x7B | 47B | Q4_K_M | 29.7 GB | Runs (tight) | ~4 tok/s |
| DeepSeek R1 70B | 70B | Q4_K_M | 43.5 GB | CPU Offload | ~3 tok/s |
| Llama 3.1 70B | 70B | Q4_K_M | 43.5 GB | CPU Offload | ~3 tok/s |
| Llama 3.3 70B | 70B | Q4_K_M | 43.5 GB | CPU Offload | ~3 tok/s |
| Qwen 2.5 72B | 72B | Q4_K_M | 44.7 GB | CPU Offload | ~3 tok/s |
2
model(s) are too large for this hardware.