
Unified memory★ Popular pick
MacBook Pro M4 14-inch
16 GB$1599~12.0 GB usable
- Type
- Unified memory (SoC)
- Provider
- Apple ★
- Unified memory
- 16 GB
- Price
- $1599
Usable for models (est.): 12.0 GB · Price per GB: $100
Popular models that run here
The largest models this device holds fully in memory, each at its best-fitting quantization.
Falcon 40B40B parametersBest fit: INT2Qwen 2.5 32B32B parametersBest fit: INT2
Qwen 3 32B32B parametersBest fit: INT2
OLMo 3 32B32B parametersBest fit: INT2
Gemma 4 31B31B parametersBest fit: INT2Qwen 3 30B-A3B (MoE)30B parametersBest fit: INT2
Gemma 3 27B27B parametersBest fit: INT2Phi-414B parametersBest fit: FP4
Every model: does it fit?
30 of 41 models run fully in memory, 5 more with partial offload. Estimated at a 4096-token context. How fit is calculated
| Model | Params | Best fit | Memory needed (est.) | Fit |
|---|---|---|---|---|
| DeepSeek-V4-Pro (MoE) | 1600B | — | ~480.0 GB | ✕ Does not fit |
| DeepSeek-V3 (MoE) | 671B | — | ~201.3 GB | ✕ Does not fit |
| Llama 3.1 405B | 405B | — | ~121.5 GB | ✕ Does not fit |
| DeepSeek-V4-Flash (MoE) | 284B | — | ~85.2 GB | ✕ Does not fit |
| Qwen 3 235B-A22B (MoE) | 235B | — | ~70.5 GB | ✕ Does not fit |
| Mistral Large 2 (MoE) | 141B | — | ~42.3 GB | ✕ Does not fit |
| Qwen 2.5 72B | 72B | — | ~21.6 GB | ◐ Partial offload |
| Llama 3 70B | 70.6B | — | ~21.2 GB | ◐ Partial offload |
| Llama 3.3 70B | 70.6B | — | ~21.2 GB | ◐ Partial offload |
| Llama 3.1 70B | 70B | — | ~21.0 GB | ◐ Partial offload |
| Llama 2 70B | 70B | — | ~21.0 GB | ◐ Partial offload |
| Falcon 40B | 40B | INT2 | ~12.0 GB | ✓ Runs |
| Qwen 2.5 32B | 32B | INT2 | ~9.6 GB | ✓ Runs |
| Qwen 3 32B | 32B | INT2 | ~9.6 GB | ✓ Runs |
| OLMo 3 32B | 32B | INT2 | ~9.6 GB | ✓ Runs |
| Gemma 4 31B | 31B | INT2 | ~9.3 GB | ✓ Runs |
| Qwen 3 30B-A3B (MoE) | 30B | INT2 | ~9.0 GB | ✓ Runs |
| Gemma 3 27B | 27B | INT2 | ~8.1 GB | ✓ Runs |
| Phi-4 | 14B | FP4 | ~8.4 GB | ✓ Runs |
| Llama 2 13B | 13B | FP4 | ~7.8 GB | ✓ Runs |
| OLMo 2 13B | 13B | FP4 | ~7.8 GB | ✓ Runs |
| Mistral Nemo 12B | 12B | FP4 | ~7.2 GB | ✓ Runs |
| Gemma 3 12B | 12B | FP4 | ~7.2 GB | ✓ Runs |
| Gemma 2 9B | 9B | FP8 | ~10.8 GB | ✓ Runs |
| Llama 3 8B | 8B | FP8 | ~9.6 GB | ✓ Runs |
| Llama 3.1 8B | 8B | FP8 | ~9.6 GB | ✓ Runs |
| Qwen 3 8B | 8B | FP8 | ~9.6 GB | ✓ Runs |
| Llama 3.3 8B | 8B | FP8 | ~9.6 GB | ✓ Runs |
| Llama 2 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| Mistral 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| Qwen 2.5 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| Falcon 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| OLMo 2 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| OLMo-7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| Mistral Small 3 7B | 7B | FP8 | ~8.4 GB | ✓ Runs |
| Gemma 3 4B | 4B | FP16 | ~9.6 GB | ✓ Runs |
| Phi-3 | 3.8B | FP16 | ~9.1 GB | ✓ Runs |
| Phi-3-mini-128K | 3.8B | FP16 | ~9.1 GB | ✓ Runs |
| Llama 3.2 3B | 3B | FP16 | ~7.2 GB | ✓ Runs |
| Llama 3.2 1B | 1B | FP32 | ~4.8 GB | ✓ Runs |
| Gemma 3 1B | 1B | FP32 | ~4.8 GB | ✓ Runs |
Measured throughput
| Model | Quantization | Tokens/sec (measured) |
|---|---|---|
| Llama 3.2 7B | Q4_K_M | 28 |
Similar unified-memory machines
- Mac Mini M4 (16 GB)
- Mac Mini M4 32GB (32 GB)
- Mac Mini M4 Pro (24 GB)
- Mac Studio M5 Max (36 GB)
- Mac Studio M5 Ultra (96 GB)
- MacBook Pro M4 Max 16-inch (48 GB)
- MacBook Air M3 13-inch (8 GB)
- MacBook Air M4 13-inch (16 GB)
Alternatives with similar memory
- NVIDIA RTX 4080 Super (16 GB)
- NVIDIA RTX 4070 Ti Super (16 GB)
- NVIDIA RTX 5080 (16 GB)
- AMD Radeon RX 7800 XT (16 GB)