Phi-4 Reasoning 14B vs DeepSeek R1 14B
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
14B
Context
32K
VRAM Range
11–32 GB
Recommended
Q4_K_M (11 GB)
ByMicrosoft·LicenseMIT
Parameters
14B
Context
128K
VRAM Range
9.9–16 GB
Recommended
Q4_K_M (9.9 GB)
ByDeepSeek·LicenseMIT
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | Phi-4 Reasoning 14B | DeepSeek R1 14B | Difference |
|---|---|---|---|
| Q4_K_M | 11 GB | 9.9 GB | +1.1 GB |
| Q8_0 | 18 GB | 16 GB | +2.0 GB |
| F16 | 32 GB | — | — |
Capabilities
Feature support comparison.
| Capability | Phi-4 Reasoning 14B | DeepSeek R1 14B |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | Yes | Yes |
| math | Yes | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | Phi-4 Reasoning 14B | DeepSeek R1 14B |
|---|---|---|
| mmlu | 80.5 | 79.7 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | Phi-4 Reasoning 14B | DeepSeek R1 14B |
|---|---|---|
| 8 GB | Offload | Offload |
| 12 GB | Tight | Runs |
| 16 GB | Runs | Runs |
| 24 GB | Runs | Runs |
| 32 GB | Runs | Runs |
| 48 GB | Runs | Runs |
| 64 GB | Runs | Runs |
| 96 GB | Runs | Runs |
Run Phi-4 Reasoning 14B
ollama run phi4-reasoning:q4_K_MRun DeepSeek R1 14B
ollama run deepseek-r1:14b-q4_K_MCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.