Using Phi-3 Medium 4K on NVIDIA NIM

Implementation guide · Phi-3 · Microsoft Research

ProvisionedOpen Source

NVIDIA NIM exposes Phi-3 Medium 4K through model ID phi-3-medium-4k. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-01. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at NVIDIA NIM and generate an API key.
  2. 2
    Use the NVIDIA NIM SDK or REST API to call phi-3-medium-4k — see the documentation for request format.
  3. 3
    You'll be billed . See full pricing.

Code Examples

See NVIDIA NIM documentation for integration details.

Pricing on NVIDIA NIM

Capabilities

Structured Outputs

About Phi-3 Medium 4K

The Phi-3 Medium 4K, developed by Microsoft, is a state-of-the-art large language model with 14 billion parameters. It is engineered for efficiency across various tasks, particularly excelling in reasoning capabilities. This model is designed to handle 4,096 token context lengths, allowing for the processing of longer input sequences. Leveraging a dense, decoder-only Transformer architecture, it incorporates techniques like supervised fine-tuning and direct preference optimization to align with human preferences and safety standards. The model supports multilingual data, although it is primarily trained in English.

Model Specs

Released2024-05-21
Parameters14B
Context4k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

NVIDIA NIM

NVIDIA

Santa Clara, California, United States