Phi-4-reasoning-plus 14B needs ~22.8 GB VRAM. RTX PRO 6000 Blackwell Server Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~150 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
160.8 tok/s
TTFT
1204 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 | 149.6 tok/s | 706 ms | 33K |
| Coding | S | Runs well | 149.6 tok/s | 1294 ms | 33K |
| Agentic Coding | S | Runs well | 149.6 tok/s | 1882 ms | 33K |
| Reasoning | S | Runs well | 149.6 tok/s | 1529 ms | 33K |
| RAG | S | Runs well | 149.6 tok/s | 2353 ms | 33K |
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on RTX PRO 6000 Blackwell Server 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 |
|---|---|---|---|---|
| 123B | S | 19.4 tok/s | ||
| 30.5B |
Yes, RTX PRO 6000 Blackwell Server Edition 96GB can run Phi-4-reasoning-plus 14B with a S grade (Runs well). Expected decode speed: 149.6 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 Server Edition 96GB, Phi-4-reasoning-plus 14B achieves approximately 149.6 tokens per second decode speed with a time-to-first-token of 1294ms using Q4_K_M quantization.
For coding workloads, Phi-4-reasoning-plus 14B on RTX PRO 6000 Blackwell Server Edition 96GB receives a S grade with 149.6 tok/s and 33K context.
On RTX PRO 6000 Blackwell Server 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.
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-server-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 |
| 202.8 tok/s |
| 27B | S | 88 tok/s |
| 27B | S | 88.2 tok/s |
| 122B | S | 53.9 tok/s |