Phi-4-reasoning-plus 14B needs ~18.1 GB VRAM. MacBook Pro M4 Max 48GB has 34.6 GB. With Q4_K_M quantization, expect ~38 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
37.6 tok/s
TTFT
5155 ms
Safe context
33K
Memory
18.1 GB / 34.6 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 37.6 tok/s | 2812 ms | 33K |
| Coding | S | Runs well | 37.6 tok/s | 5155 ms | 33K |
| Agentic Coding | S | Runs well | 37.6 tok/s | 7497 ms | 33K |
| Reasoning | S | Runs well | 37.6 tok/s | 6092 ms | 33K |
| RAG | S | Runs well | 37.6 tok/s | 9372 ms | 33K |
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.7 GB | Low | A83 |
Q3_K_S | 3 | 7.2 GB | Low | A84 |
NVFP4 | 4 |
Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.
Run
ollama run phi4-reasoningYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 52 tok/s | |
| Qwen 3.5 27B | 27B | S | 36.1 tok/s |
Yes, MacBook Pro M4 Max 48GB can run Phi-4-reasoning-plus 14B with a S grade (Runs well). Expected decode speed: 37.6 tok/s.
Phi-4-reasoning-plus 14B (14.699999809265137B parameters) requires approximately 18.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi-4-reasoning-plus 14B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 48GB, Phi-4-reasoning-plus 14B achieves approximately 37.6 tokens per second decode speed with a time-to-first-token of 5155ms using Q4_K_M quantization.
For coding workloads, Phi-4-reasoning-plus 14B on MacBook Pro M4 Max 48GB receives a S grade with 37.6 tok/s and 33K context.
On MacBook Pro M4 Max 48GB, Phi-4-reasoning-plus 14B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/phi-4-reasoning-plus-14b-on-m4-max-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
8.2 GB |
| Medium |
| A84 |
Q4_K_M | 4 | 9.0 GB | Medium | A84 |
Q5_K_M | 5 | 10.6 GB | High | S85 |
Q6_K | 6 | 12.1 GB | High | S86 |
Q8_0Best for your GPU | 8 | 15.7 GB | Very High | S87 |
F16 | 16 | 30.1 GB | Maximum | F0 |
| Qwen 3.6 27B | 27B | S | 27.4 tok/s |
| Qwen 3.6 35B A3B | 35B | S | 43.7 tok/s |
| Qwen3-VL 30B A3B Instruct | 30B | S | 53.8 tok/s |
Not always. MacBook Pro M4 Max 48GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.