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CPU-capable model ready

Phi-3 Mini

40 consumer GPUs can run Phi-3 Mini at Q4 natively. Precise VRAM thresholds and benchmarks below.

40 Compatible GPUs
3.8B params
128K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 128K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Microsoft
LICENSE MIT
Hardware Decision

This model requires a Entry GPU (8 GB VRAM)

Minimum

GTX 1660 Super

Runs at Q4 — functional, some wait

6 GB VRAM
View compatible setup
Balanced

RTX 4060 Ti 16GB

Best value for daily use

16 GB VRAM
View compatible setup
Optimal

RTX 5090

Full quality, fastest inference

32 GB VRAM
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 2.5 GB Entry GPU
System RAM 16 GB DDR4/DDR5
Storage 2.2 GB Q4 · SSD recommended
CPU i7 → 14 tok/s Runs without GPU

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 7.6 GB 7.6 GB Maximum
Q8 (high quality) 4 GB 3.8 GB Near-lossless
Q4 (recommended) Best balance 2.5 GB 2.2 GB Recommended
Q2 (minimum) 1.5 GB 1.2 GB Quality loss

Model Details

Developer Microsoft
Parameters 3.8B
Context window 128,000 tokens
License MIT
Use cases chat, coding, reasoning
Released 2024-04

Install with Ollama

ollama run phi3:mini

Hugging Face

microsoft/Phi-3-mini-128k-instruct
View on HF →
Technical Requirements

Can your GPU run Phi-3 Mini?

Phi-3 Mini requires 2.5 GB VRAM at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or 0.5 GB you'll hit significant offload latency.

1.5GB Critical min
2.5GB Optimal Q4
4GB High Quality Q8
7.6GB Max FP16

Hardware Performance Matrix

40 Q4 native · 0 offload · 0 unsupported

GPU Unit VRAM Compatibility Est. Speed Action
RTX 5090 32GB Optimal 191 tok/s Calculate →
RTX 4090 24GB Optimal 179 tok/s Calculate →
M4 Ultra 128GB Optimal 182 tok/s Calculate →
RTX 5080 16GB Optimal 178 tok/s Calculate →
M3 Ultra 192GB Optimal 153 tok/s Calculate →
RTX 4080 Super 16GB Optimal 138 tok/s Calculate →
RTX 5070 Ti 16GB Optimal 165 tok/s Calculate →
RTX 3090 24GB Optimal 171 tok/s Calculate →
M4 Max 48GB 48GB Optimal 105 tok/s Calculate →
RX 7900 XTX 24GB Optimal 176 tok/s Calculate →
M4 Max 36GB 36GB Optimal 104 tok/s Calculate →
RTX 4070 Ti Super 16GB Optimal 125 tok/s Calculate →
RTX 3080 Ti 12GB Optimal 157 tok/s Calculate →
RX 7900 XT 20GB Optimal 147 tok/s Calculate →
RTX 5070 12GB Optimal 124 tok/s Calculate →
RTX 3080 10GB Optimal 137 tok/s Calculate →
M4 Pro 24GB Optimal 55 tok/s Calculate →
RX 7800 XT 16GB Optimal 114 tok/s Calculate →
RX 6800 XT 16GB Optimal 93 tok/s Calculate →
RTX 4070 12GB Optimal 93 tok/s Calculate →
RTX 4060 Ti 16GB 16GB Optimal 55 tok/s Calculate →
RX 7700 XT 12GB Optimal 79 tok/s Calculate →
RTX 3070 Ti 8GB Optimal 111 tok/s Calculate →
RTX 4060 Ti 8GB Optimal 55 tok/s Calculate →
RTX 3070 8GB Optimal 82 tok/s Calculate →
RX 6700 XT 12GB Optimal 69 tok/s Calculate →
M3 Pro 18GB Optimal 32 tok/s Calculate →
RTX 3060 Ti 8GB Optimal 82 tok/s Calculate →
RTX 2080 Ti 11GB Optimal 82 tok/s Calculate →
RTX 3060 12GB Optimal 67 tok/s Calculate →
M2 Pro 16GB Optimal 39 tok/s Calculate →
RTX 4060 8GB Optimal 51 tok/s Calculate →
Arc A770 16GB 16GB Optimal 41 tok/s Calculate →
M1 Pro 16GB Optimal 38 tok/s Calculate →
RX 7600 8GB Optimal 53 tok/s Calculate →
RX 6600 XT 8GB Optimal 50 tok/s Calculate →
Arc A750 8GB 8GB Optimal 38 tok/s Calculate →
RX 6600 8GB Optimal 45 tok/s Calculate →
RTX 3050 8GB 8GB Optimal 41 tok/s Calculate →
GTX 1660 Super 6GB Optimal 60 tok/s Calculate →

Recommended GPUs for Phi-3 Mini

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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Phi-3 Mini — Compatibility guide

Phi-3 Mini can run on CPU without a dedicated GPU — unusual for a 3.8B model. On an i7-13700K with llama.cpp Q4 it reaches 14 tok/s (functional for occasional use). With a GPU you get 4–6× more speed — check the VRAM calculator for specifics.

Compare GPUs for Phi-3 Mini

Which GPU is worth it? Real specs and benchmarks side by side.

Compatible Hardware

GPUs that run Phi-3 Mini at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos
RTX 5090
RTX 5090

NVIDIA · 32 GB VRAM

Q4 OK
191 tok/s > $1000
RTX 4090
RTX 4090

NVIDIA · 24 GB VRAM

Q4 OK
179 tok/s > $1000
M4 Ultra

Apple · 128 GB VRAM

Q4 OK
182 tok/s > $1000
RTX 5080
RTX 5080

NVIDIA · 16 GB VRAM

Q4 OK
178 tok/s $600–1000
M3 Ultra

Apple · 192 GB VRAM

Q4 OK
153 tok/s > $1000
RTX 4080 Super
RTX 4080 Super

NVIDIA · 16 GB VRAM

Q4 OK
138 tok/s $600–1000

Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.

More Practical Alternatives

Similar models in the chat category with comparable VRAM footprints.

Not sure which GPU you need for Phi-3 Mini?

The VRAM Calculator tells you exactly which quantization your hardware can handle.