Models / Phi-4 Mini

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coding reasoning
Parameters
3.8B
Context
128k
License
mit
Developer
Microsoft
Origin
πŸ‡ΊπŸ‡Έ USA
Released
Feb 2025

Scores

Coding
55
Reasoning
58
General
52

Related models

Save your hardware and every model page answers the real question: will it run on your machine, and how fast?

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Run it locally

Per-quant memory needs and a static "can you run it?" reference - no rig entry required

Q4_K_M
2.5GB 2.5GB min 3.7GB rec
Balanced - the usual local sweet spot
Q8_0
4.1GB 4.1GB min 5.3GB rec
Near-lossless

The reference hardware

Schematic of the 4x H100 80GB (320GB) reference rig - 320GB VRAM, 13400 GB/s aggregate bandwidth
Schematic of the NVIDIA DGX Station 748GB reference rig - 748GB unified memory, 8000 GB/s aggregate bandwidth
Schematic of the 8x RTX 3090 rack (192GB) reference rig - 192GB VRAM, 7489 GB/s aggregate bandwidth
Schematic of the 4x RTX 5090 (128GB) reference rig - 128GB VRAM, 7168 GB/s aggregate bandwidth
Schematic of the AMD Instinct MI300X (192GB) reference rig - 192GB VRAM, 5324 GB/s aggregate bandwidth
Schematic of the 4x RTX 4090 (96GB) reference rig - 96GB VRAM, 4032 GB/s aggregate bandwidth
Schematic of the 2x RTX 5090 (64GB) reference rig - 64GB VRAM, 3584 GB/s aggregate bandwidth
Schematic of the 2x RTX 3090 (48GB) reference rig - 48GB VRAM, 1872 GB/s aggregate bandwidth
Schematic of the Single RTX 5090 (32GB) reference rig - 32GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the RTX PRO 6000 Blackwell (96GB) reference rig - 96GB VRAM, 1792 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 192GB reference rig - 192GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Mac Studio M4 Ultra 512GB reference rig - 512GB unified memory, 1092 GB/s aggregate bandwidth
Schematic of the Single RTX 4090 (24GB) reference rig - 24GB VRAM, 1008 GB/s aggregate bandwidth
Schematic of the MacBook Pro M5 Max 128GB reference rig - 128GB unified memory, 614 GB/s aggregate bandwidth
Schematic of the Single GTX 1080 Ti (11GB) reference rig - 11GB VRAM, 484 GB/s aggregate bandwidth
Schematic of the Dual EPYC 9004 + 768GB DDR5-4800 reference rig - 768GB unified memory, 460 GB/s aggregate bandwidth
Schematic of the DGX Spark 128GB unified reference rig - 128GB unified memory, 273 GB/s aggregate bandwidth
Schematic of the Ryzen AI Max+ 395 128GB reference rig - 128GB unified memory, 256 GB/s aggregate bandwidth
Schematic of the Jetson AGX Orin 64GB reference rig - 64GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-3200 + 2x RTX 3090 reference rig - 560GB unified memory, 204 GB/s aggregate bandwidth
Schematic of the Epyc + 512GB DDR4-2400 + 2x RTX 3090 reference rig - 560GB unified memory, 153 GB/s aggregate bandwidth
Schematic of the NVIDIA Jetson Orin NX 16GB reference rig - 16GB unified memory, 102 GB/s aggregate bandwidth

22 reference configs, drawn in-house. Scroll for more.

Can you run it? - reference rigs

Rig Q4_K_M Q8_0
4x H100 80GB (320GB) fast 2219.9t/s fast 1498.0t/s
NVIDIA DGX Station 748GB fast 1325.3t/s fast 894.3t/s
8x RTX 3090 rack (192GB) fast 1240.8t/s fast 837.3t/s
4x RTX 5090 (128GB) fast 1187.5t/s fast 801.3t/s
AMD Instinct MI300X (192GB) fast 882.1t/s fast 595.3t/s
4x RTX 4090 (96GB) fast 668.0t/s fast 450.7t/s
2x RTX 5090 (64GB) fast 593.7t/s fast 400.7t/s
2x RTX 3090 (48GB) fast 310.2t/s fast 209.3t/s
Single RTX 5090 (32GB) fast 296.9t/s fast 200.3t/s
RTX PRO 6000 Blackwell (96GB) fast 296.9t/s fast 200.3t/s
Mac Studio M4 Ultra 192GB fast 197.4t/s fast 133.2t/s
Mac Studio M4 Ultra 512GB fast 197.4t/s fast 133.2t/s
Single RTX 4090 (24GB) fast 167.0t/s fast 112.7t/s
MacBook Pro M5 Max 128GB fast 111.0t/s fast 74.9t/s
Single GTX 1080 Ti (11GB) fast 80.2t/s fast 54.1t/s
Dual EPYC 9004 + 768GB DDR5-4800 fast 76.3t/s fast 51.5t/s
DGX Spark 128GB unified fast 45.2t/s fast 30.5t/s
Ryzen AI Max+ 395 128GB fast 42.4t/s fast 28.6t/s
Jetson AGX Orin 64GB fast 33.9t/s fast 22.9t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 fast 33.9t/s fast 22.9t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 fast 25.5t/s ok 17.2t/s
NVIDIA Jetson Orin NX 16GB ok 17.0t/s ok 11.5t/s

Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.

Download options

Q4_K_M official -5% vs fp16
2.5GB dl 2.5GB min 3.7GB rec
REC RAM vs largest quant
Q8_0 official -1% vs fp16
4.1GB dl 4.1GB min 5.3GB rec
REC RAM vs largest quant

Or run it in the cloud

No per-token API provider pricing tracked for Phi-4 Mini yet. For flagship list prices, see the calculator.

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PRICE HISTORY

Inference cost over time

Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.

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