Phi-4-reasoning-plus 14B needs ~22.8 GB VRAM. RTX PRO 6000 Blackwell Workstation Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~181 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
180.5 tok/s
TTFT
1073 ms
Safe context
33K
Memory
22.8 GB / 96.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 180.5 tok/s | 585 ms | 33K |
| Coding | S | Runs well | 180.5 tok/s | 1073 ms | 33K |
| Agentic Coding | S | Runs well | 180.5 tok/s | 1560 ms | 33K |
| Reasoning | S | Runs well | 180.5 tok/s | 1268 ms | 33K |
| RAG | S | Runs well | 180.5 tok/s | 1951 ms | 33K |
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on RTX PRO 6000 Blackwell Workstation Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.7 GB | Low | A79 |
Q3_K_S | 3 | 7.2 GB | Low | A79 |
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 |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 21.8 tok/s | |
 Qwen3-Coder 30B A3B Instruct | 30.5B |
Yes, RTX PRO 6000 Blackwell Workstation Edition 96GB can run Phi-4-reasoning-plus 14B with a S grade (Runs well). Expected decode speed: 180.5 tok/s.
Phi-4-reasoning-plus 14B (14.699999809265137B parameters) requires approximately 22.8 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 RTX PRO 6000 Blackwell Workstation Edition 96GB, Phi-4-reasoning-plus 14B achieves approximately 180.5 tokens per second decode speed with a time-to-first-token of 1073ms using Q4_K_M quantization.
For coding workloads, Phi-4-reasoning-plus 14B on RTX PRO 6000 Blackwell Workstation Edition 96GB receives a S grade with 180.5 tok/s and 33K context.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/phi-4-reasoning-plus-14b-on-rtx-pro-6000-blackwell-96gb" 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 |
| A79 |
Q4_K_M | 4 | 9.0 GB | Medium | A79 |
Q5_K_M | 5 | 10.6 GB | High | A79 |
Q6_K | 6 | 12.1 GB | High | A79 |
Q8_0 | 8 | 15.7 GB | Very High | A80 |
F16Best for your GPU | 16 | 30.1 GB | Maximum | A82 |
| 227.6 tok/s |
| Qwen 3.5 27B | 27B | S | 98.7 tok/s |
| Qwen 3.6 27B | 27B | S | 99 tok/s |
| Qwen 3.5 122B A10B | 122B | S | 60.5 tok/s |
On RTX PRO 6000 Blackwell Workstation Edition 96GB, 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.