LLM Reference
Microsoft Foundry

Using Smaug 72B on Microsoft Foundry

Implementation guide · Smaug · Abacus.AI

ProvisionedOpen Source

Microsoft Foundry exposes Smaug 72B through model ID smaug-72b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-05-19. 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 smaug-72b — see the documentation for request format.
  3. 3
    You'll be billed $1.00/1M input, $2.00/1M output tokens. See full pricing.

Code Examples

See Microsoft Foundry documentation for integration details.

Pricing on Microsoft Foundry

TypePrice (per 1M)
Input tokens$1.00
Output tokens$2.00

Capabilities

No model capability flags are currently sourced.

About Smaug 72B

Smaug 72B is a large language model (LLM) developed by Abacus AI, distinguished as the first open-source model to exceed an average score of 80% on the Hugging Face Open LLM Leaderboard. It excels in various tasks, outperforming even some proprietary models like GPT-3.5 in specific benchmarks. The model is based on the Qwen-72B and fine-tuned using a novel DPO-Positive (DPOP) technique, leveraging datasets such as ARC, HellaSwag, and MetaMath. Its capabilities include question answering, text translation, and poem generation, with notable performance in reasoning and math tasks.

Model Specs

Released2023-12-09
Parameters72B
Context32k
ArchitectureDecoder Only

Provider

Microsoft Foundry
Microsoft Foundry

Microsoft

Redmond, Washington, United States