LLM Reference
Microsoft Foundry

Using Phi-3 Mini 128K on Microsoft Foundry

Implementation guide · Phi-3 · Microsoft Research

ServerlessProvisionedOpen Source

Microsoft Foundry exposes Phi-3 Mini 128K through model ID phi-3-mini-128k. 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-128k — see the documentation for request format.
  3. 3
    You'll be billed $0.30/1M input, $0.90/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.30
Output tokens$0.90

Capabilities

No model capability flags are currently sourced.

About Phi-3 Mini 128K

Phi-3 Mini-128K-Instruct, developed by Microsoft, is a 3.8 billion-parameter large language model renowned for its lightweight, open-source architecture. Despite its modest size, it excels in reasoning tasks, particularly in math and logic, and showcases strong code generation capabilities. A standout feature is its remarkable ability to handle up to 128,000 tokens, allowing it to process extensive text documents and codebases efficiently. While it has limitations in factual knowledge and focuses primarily on English, it strikes a balance between performance and efficiency, making it ideal for resource-constrained environments.

Model Specs

Released2024-04-23
Parameters3.8B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States