LLM Reference
Microsoft Foundry

Using Phi-3 Mini 4k on Microsoft Foundry

Implementation guide · Phi-3 · Microsoft Research

ServerlessProvisionedOpen Source

Microsoft Foundry exposes Phi-3 Mini 4k through model ID phi-3-mini-4k. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-16. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at Microsoft Foundry and generate an API key.
  2. 2
    Use the Microsoft Foundry SDK or REST API to call phi-3-mini-4k — see the documentation for request format.
  3. 3
    You'll be billed $0.28/1M input, $0.84/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.28
Output tokens$0.84

Capabilities

No model capability flags are currently sourced.

About Phi-3 Mini 4k

The Phi-3 Mini-4K-Instruct model by Microsoft is an advanced, lightweight language model boasting 3.8 billion parameters, optimized for environments with limited computational resources. It excels in various natural language processing tasks, especially in reasoning, text generation, and maintaining multi-turn conversations. Trained on a mix of synthetic and high-quality data, the model is tailored for effective instruction-following. Despite its capabilities, it has limitations in factual knowledge and multilingual support, often requiring external resources to enhance accuracy. The model is ideal for commercial and research applications that demand efficient processing, such as mobile apps and real-time systems.

Model Specs

Released2024-04-23
Parameters3.8B
Context4k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States