Models / Phi-4 14B

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Provider transparency docs β†’

coding reasoning
Parameters
14.7B
Context
16k
License
mit
Developer
Microsoft
Origin
πŸ‡ΊπŸ‡Έ USA
Released
Dec 2024

Scores

Coding
75
Reasoning
78
General
70

Score per dollar

1000 pts per $/M input

general_score (70) divided by cheapest input price ($0.07/M). Higher is better value. See live pricing.

Related models

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

Join free - save your rig β†’

Run it locally

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

Q4_K_M
8.5GB 8.5GB min 10.0GB rec
Balanced - the usual local sweet spot
Q8_0
15.0GB 15.0GB min 17.0GB rec
Near-lossless
FP16
29.0GB 29.0GB min 32.0GB rec
Full quality, largest

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 FP16
4x H100 80GB (320GB) fast 866.9t/s fast 491.3t/s fast 254.1t/s
NVIDIA DGX Station 748GB fast 517.6t/s fast 293.3t/s fast 151.7t/s
8x RTX 3090 rack (192GB) fast 484.5t/s fast 274.6t/s fast 142.0t/s
4x RTX 5090 (128GB) fast 463.7t/s fast 262.8t/s fast 135.9t/s
AMD Instinct MI300X (192GB) fast 344.5t/s fast 195.2t/s fast 101.0t/s
4x RTX 4090 (96GB) fast 260.9t/s fast 147.8t/s fast 76.5t/s
2x RTX 5090 (64GB) fast 231.9t/s fast 131.4t/s fast 68.0t/s
2x RTX 3090 (48GB) fast 121.1t/s fast 68.7t/s fast 35.5t/s
Single RTX 5090 (32GB) fast 115.9t/s fast 65.7t/s fast 34.0t/s
RTX PRO 6000 Blackwell (96GB) fast 115.9t/s fast 65.7t/s fast 34.0t/s
Mac Studio M4 Ultra 192GB fast 77.1t/s fast 43.7t/s fast 22.6t/s
Mac Studio M4 Ultra 512GB fast 77.1t/s fast 43.7t/s fast 22.6t/s
Single RTX 4090 (24GB) fast 65.2t/s fast 37.0t/s offload
MacBook Pro M5 Max 128GB fast 43.3t/s fast 24.6t/s ok 12.7t/s
Single GTX 1080 Ti (11GB) fast 31.3t/s offload no -> cloud
Dual EPYC 9004 + 768GB DDR5-4800 fast 29.8t/s ok 16.9t/s ok 8.7t/s
DGX Spark 128GB unified ok 17.7t/s ok 10.0t/s slow 5.2t/s
Ryzen AI Max+ 395 128GB ok 16.6t/s ok 9.4t/s slow 4.9t/s
Jetson AGX Orin 64GB ok 13.3t/s slow 7.5t/s slow 3.9t/s
Epyc + 512GB DDR4-3200 + 2x RTX 3090 ok 13.3t/s slow 7.5t/s slow 3.9t/s
Epyc + 512GB DDR4-2400 + 2x RTX 3090 ok 9.9t/s slow 5.6t/s slow 2.9t/s
NVIDIA Jetson Orin NX 16GB slow 6.6t/s tight no -> cloud

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
8.5GB dl 8.5GB min 10.0GB rec
REC RAM vs largest quant
Q8_0 official -1% vs fp16
15.0GB dl 15.0GB min 17.0GB rec
REC RAM vs largest quant
FP16 official
29.0GB dl 29.0GB min 32.0GB rec
REC RAM vs largest quant

Or run it in the cloud

Live per-provider pricing, throughput and uptime - refreshed about 9 hours ago via OpenRouter. Click a column to sort.

Provider Type Input $/M Output $/M Cache $/M Tok/s Latency Uptime Value
DeepInfra
API 0.07 0.14 - - - 100.00% best uptime

Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing.

Detailed API pricing page + JSON endpoint β†’

See who runs Microsoft in production β†’

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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