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MicrosoftNovember 1, 2025

OptiMind-SFT

Paid
Infrastructure

Explore OptiMind-SFT

Visit the official website to learn more and get started

### TL;DR

OptiMind-SFT is a specialized 20-billion parameter model developed by Microsoft Research's Machine Learning and Optimization (MLO) Group. It automates the translation of complex decision-making problems, such as supply chain planning and resource allocation, into correct Mixed-Integer Linear Programming (MILP) formulations.

Key Insights & Metrics

Pricing
Pricing details are not specified; please contact Microsoft for more information.
Cost structure
Version
4
Current release version
Hardware
8x NVIDIA B200 GPUs for training; 8x NVIDIA H100 GPUs for inference and evaluation; recommended ≥32GB GPU VRAM for comfortable inference.
Compute requirements
Category
Paid
Licensing model
Region
United States
Primary region

Key Features

  • Automates translation of natural language optimization problems into MILP formulations
  • Generates executable Python code using GurobiPy
  • Supports context lengths up to 128,000 tokens
  • Trained on cleaned subsets of OR-Instruct and OptMATH datasets
  • Utilizes a Mixture-of-Experts (MoE) variant of the transformer architecture

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