llmrun

Phi 4 Models — Hardware Requirements

7 Phi 4 models from Microsoft and the community, from the smallest that runs in 4.8 GB of VRAM at Q4 up to 14.7B parameters. Every row links to full quantization tables and GPU compatibility.

All Phi 4 Models by Size

ModelParamsContext
Phi 4 Mini Instruct3.8B131K
Phi 4 Mini Reasoning3.8B131K
Phi 4 Mini Flash Reasoning3.9B262K
Phi 414.7B16K
Phi 4 Reasoning Plus14.7B33K
Phi 4 Reasoning14.7B33K
Community variants and fine-tunes(1)
ModelParamsContext
Phi 4 Quantized.w8a814.7B16K

How Phi 4 Compares — llmrun Composite Score

Phi 4 is the highest-scoring Phi 4 model with an llmrun Composite Score of 83.9 — #81 among 106 open models. The top proprietary model, Gemini 4 Carbon, scores 158.6. Click a model to see its full benchmark breakdown.

Gemini 4 Carbon · proprietary158.6
GPT 6 Astra · proprietary156.2
Claude Opus 5.5 · proprietary153.0
GPT 6.1 Sol · proprietary151.7
GPT 6.1 Terra · proprietary150.1
Kimi K3132.7
GLM 5.3130.1
Phi 483.9
llmrun Composite Score, open and proprietary models (how it is built) · ■ Phi 4 · ■ other open models · ■ proprietary · bars start at 80

Frequently Asked Questions

How much VRAM do I need to run a Phi 4 model?
The smallest Phi 4 model, Phi 4 Mini Instruct, runs from 4.8 GB of VRAM at Q4_K_M (smaller low-bit quantizations start at 1.6 GB with a noticeable quality loss). 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 Q4_K_M, 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 4.8 GB of VRAM at Q4_K_M.
How do Phi 4 models score on benchmarks?
Phi 4 leads the family with an llmrun Composite Score of 83.9, ranking #81 among 106 open models, while the top proprietary model, Gemini 4 Carbon, scores 158.6. See the comparison chart above for the full standings.