Raises estimated decode speed by about 65%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Phi 3 Medium 14B needs ~14.1 GB VRAM. RX 6900 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~34 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
Tight fit
Decode
36.7 tok/s
TTFT
5270 ms
Safe context
26K
Memory
14.1 GB / 16.0 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 | B | Runs well | 36.7 tok/s | 2875 ms | 26K |
| Coding | B | Tight fit | 34.2 tok/s | 5665 ms | 26K |
| Agentic Coding | C | Runs with offload (needs ~0.6 GB host RAM) | 23.8 tok/s | 11819 ms | 26K |
| Reasoning | B | Tight fit | 36.7 tok/s | 6228 ms | 26K |
| RAG | C | Runs with offload (needs ~0.6 GB host RAM) | 23.8 tok/s | 14774 ms |
How Phi 3 Medium 14B (14B params) fits at each quantization level on RX 6900 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B60 |
Q3_K_S | 3 | 6.9 GB | Low | B62 |
NVFP4 | 4 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumUpgrade options
Raises estimated decode speed by about 65%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Raises estimated decode speed by about 137%.
Adds memory headroom for longer context windows and future model growth.
~$999 MSRP
Raises estimated decode speed by about 72%.
Adds memory headroom for longer context windows and future model growth.
~$8,999 MSRP
Yes, RX 6900 XT 16GB can run Phi 3 Medium 14B with a B grade (Tight fit). Expected decode speed: 34.2 tok/s.
Phi 3 Medium 14B (14B parameters) requires approximately 14.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
On RX 6900 XT 16GB, Phi 3 Medium 14B achieves approximately 34.2 tokens per second decode speed with a time-to-first-token of 5665ms using Q4_K_M quantization.
For coding workloads, Phi 3 Medium 14B on RX 6900 XT 16GB receives a B grade with 34.2 tok/s and 26K context.
On RX 6900 XT 16GB, Phi 3 Medium 14B can safely use up to 26K tokens of context. The model's official context limit is 128K, 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-3-medium-14b-on-rx-6900-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 26K |
| Medium |
| B63 |
Q4_K_M | 4 | 8.5 GB | Medium | B62 |
Q5_K_M | 5 | 10.1 GB | High | B62 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | B62 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |