LLM Reference
Microsoft Foundry

Using Llama 2 7B Chat on Microsoft Foundry

Implementation guide · Llama 2 · AI at Meta

ServerlessProvisionedOpen Weights

Microsoft Foundry exposes Llama 2 7B Chat through model ID llama2-7b-chat. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-09. 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 llama2-7b-chat — see the documentation for request format.
  3. 3
    You'll be billed $0.52/1M input, $0.67/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$0.52
Output tokens$0.67

Capabilities

Structured Outputs

About Llama 2 7B Chat

The Llama 2 7B Chat model is a fine-tuned variant of Meta's Llama 2 series, optimized for conversational AI applications. Built on an auto-regressive transformer architecture, it boasts 7 billion parameters and has been trained on a diverse dataset of 2 trillion tokens. The model underwent supervised fine-tuning and reinforcement learning with human feedback to enhance its performance in dialogue scenarios. It demonstrates competitive capabilities in terms of helpfulness and safety compared to both open-source and closed-source alternatives like ChatGPT and PaLM.

Model Specs

Released2023-07-18
Parameters7B
Context4k
ArchitectureDecoder Only
Knowledge cutoff2022-09

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States