Phi 4 Models — Hardware Requirements
7 Phi 4 models from Microsoft and the community, from the smallest that runs in 1.6 GB of VRAM up to 14.7B parameters. Every row links to full quantization tables and GPU compatibility.
All Phi 4 Models by Size
| Model | Params | Runs from | Context | Publisher | Quant downloads |
|---|---|---|---|---|---|
| Phi 4 Mini Instruct | 3.8B | 2.2 GB | 131K | ||
| Phi 4 Mini Reasoning | 3.8B | 1.6 GB | 131K | ||
| Phi 4 Mini Flash Reasoning | 3.9B | 2.3 GB | 262K | ||
| Phi 4 | 14.7B | 5.1 GB | 16K | ||
| Phi 4 Reasoning Plus | 14.7B | 4.8 GB | 33K | ||
| Phi 4 Reasoning | 14.7B | 4.8 GB | 33K | ||
| Phi 4 Quantized.w8a8 | 14.7B | 7.0 GB | 16K |
How Phi 4 Compares — Benchmark Rating
Phi 4 is the highest-rated Phi 4 model with an overall benchmark rating of 53.5/100 — #30 among 75 open models. The top proprietary model, GPT 5.5, scores 88.8. Click a model to see its full benchmark breakdown.
GPT 5.5 · proprietary88.8
Claude Opus 4.7 · proprietary87.6
Claude Fable 5 · proprietary86.6
GPT 5.4 · proprietary86.6
Claude Opus 4.8 · proprietary84.4
DeepSeek V4 Pro77.5
Qwen3.6 27B74.0
StableBeluga269.1
MiniMax M2.768.4
Phi 453.5
Frequently Asked Questions
- How much VRAM do I need to run a Phi 4 model?
- The smallest Phi 4 model, Phi 4 Mini Reasoning, runs from 1.6 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Phi 4 models can I run on a 16 GB GPU?
- 7 of 7 Phi 4 models fit in 16 GB of VRAM at some quantization, including Phi 4 Mini Instruct, Phi 4, Phi 4 Mini Reasoning.
- What is the most popular Phi 4 model to run locally?
- Phi 4 Mini Instruct is the most downloaded Phi 4 model in local-friendly quantized formats. It runs from 2.2 GB of VRAM.
- How do Phi 4 models score on benchmarks?
- Phi 4 leads the family with an overall benchmark rating of 53.5/100, ranking #30 among 75 open models, while the top proprietary model, GPT 5.5, scores 88.8. See the comparison chart above for the full standings.