Phi-4 Mini Reasoning 4B needs ~5.3 GB VRAM. RX 5600 XT 6GB has 6.0 GB. With Q4_K_M quantization, expect ~53 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
53.2 tok/s
TTFT
3639 ms
Safe context
24K
Memory
5.3 GB / 6.0 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 | 53.2 tok/s | 1985 ms | 24K |
| Coding | S | Tight fit | 53.2 tok/s | 3639 ms | 24K |
| Agentic Coding | A | Very compromised (needs ~0.3 GB host RAM) | 40.7 tok/s | 6922 ms | 24K |
| Reasoning | S | Tight fit | 53.2 tok/s | 4301 ms | 24K |
| RAG | A | Very compromised (needs ~0.3 GB host RAM) | 40.7 tok/s | 8653 ms | 24K |
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on RX 5600 XT 6GB (6.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.5 GB | Low | S91 |
Q3_K_S | 3 | 1.9 GB | Low | S92 |
NVFP4 | 4 | 2.1 GB | Medium | S92 |
Q4_K_M | 4 | 2.3 GB | Medium | S91 |
Q5_K_M | 5 | 2.7 GB | High | S91 |
Q6_KBest for your GPU | 6 | 3.1 GB | High | S91 |
Q8_0 | 8 | 4.1 GB | Very High | F0 |
F16 | 16 | 7.8 GB | Maximum | F0 |
Copy-paste commands to run Phi-4 Mini Reasoning 4B on your machine.
Run
ollama run phi4-miniYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 4B | 4B | S | 47.2 tok/s |
Yes, RX 5600 XT 6GB can run Phi-4 Mini Reasoning 4B with a S grade (Tight fit). Expected decode speed: 53.2 tok/s.
Phi-4 Mini Reasoning 4B (3.799999952316284B parameters) requires approximately 5.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi-4 Mini Reasoning 4B is Q4_K_M, which balances quality and memory efficiency.
On RX 5600 XT 6GB, Phi-4 Mini Reasoning 4B achieves approximately 53.2 tokens per second decode speed with a time-to-first-token of 3639ms using Q4_K_M quantization.
For coding workloads, Phi-4 Mini Reasoning 4B on RX 5600 XT 6GB receives a S grade with 53.2 tok/s and 24K context.
On RX 5600 XT 6GB, Phi-4 Mini Reasoning 4B can safely use up to 24K tokens of context. The model's official context limit is 131K, 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-mini-reasoning-on-rx-5600-xt-6gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: