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Xpress Solver for AMPL | Download, Pricing & Documentation

Powerful Optimization for Complex Problems

FICO Xpress Solver provides the widest breadth of industry-leading optimization algorithms and technologies to solve linear, mixed integer, and non-linear problems to help users solve their most difficult and complex challenges.

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Problem types supported

Solve for large-scale linear and mixed integer problems, as well as non-linear problems: LP, NLP, MIP, MINLP, QP, QCQP, SOCP, MIQP, MIQCQP, MISOCP, MINLP, and CP.

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Special forms detected

Constraint Programming (CP) and Second Order Cone problems (SOCPs).

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Algorithms available

For continuous problems, primal and dual simplex, interior-point (barrier); for integer problems, advanced branch-and-bound with presolve, feasibility heuristics, and cut generators. Global (MI)NLP solver for non-convex non-linear models.

Xpress for AMPL

Unlock More Power with an Optimized Solver Interface

FICO Xpress for AMPL is a specialized version of the solver, designed exclusively for use within the AMPL environment. It includes key enhancements that make the solver even more powerful, allowing it to handle larger, more complex optimization problems with greater efficiency and speed.

Seamless Solver Integration with AMPL

FICO Xpress for AMPL is more than just a solver—it’s an enhanced optimization experience. AMPL provides a purpose-built solver interface that allows FICO Xpress to handle large-scale optimization problems with greater efficiency and scalability. By leveraging AMPL’s modeling language, users gain faster insights, improved workflow efficiency, and a better return on their solver investment, all while maintaining the flexibility and power of FICO Xpress.

Optimized Performance & Faster Run Times

AMPL’s solver interface optimizes problem structures before they reach the solver, reducing computation time and improving efficiency. By intelligently restructuring mathematical programs, AMPL allows FICO Xpress to solve models faster and more effectively, making it easier to tackle complex decision-making challenges across industries.

Automatic Reformulations for Solver Efficiency

One of AMPL’s key advantages is its ability to automatically reformulate problems into solver-friendly formats. This ensures that even highly complex or nonlinear models are structured in a way that FICO Xpress can process more efficiently, avoiding bottlenecks and improving convergence speed. Whether simplifying constraints, handling logical expressions, or restructuring large models, AMPL ensures optimal solver performance.

Expert Support & Solver Tuning Services

To help users get the most out of FICO Xpress, AMPL offers consulting services and dedicated support plans for solver tuning and model optimization. Our experts provide solver diagnostics, advanced tuning, and optimization strategies to improve computation times and solver performance. Whether refining a problem formulation or troubleshooting solver behavior, AMPL’s specialized services ensure users achieve the best possible results with FICO Xpress.

Developer-centric to get started fast

Download Xpress for all platforms, integrate with other programming languages, and a module for amplpy

Available across operating systems

Access this world-class solver in the AMPL License Portal, available on Windows, Linux, and macOS

APIs for programming languages

Xpress can be used with AMPL from various programming languages using our dedicated APIs

Access as a module with amplpy

For Python enthusiasts, Xpress is also accessible as a module with amplpy, blending seamlessly with your Python projects.

How to install using amplpy:

# Install Python API for AMPL:
$ python -m pip install amplpy --upgrade

# Install AMPL & solver modules:
$ python -m amplpy.modules install xpress # install XPRESS

# Activate your license (e.g., free ampl.com/ce or ampl.com/courses licenses):
$ python -m amplpy.modules activate <your-license-uuid>

How to use:

from amplpy import AMPL
ampl = AMPL()
...
ampl.solve(solver="xpress", xpress_options="option1=value1 option2=value2")

AMPL APIs are interfaces that allow developers to access the features of the AMPL interpreter from within a programming language. We have APIs available for:

Xpress for AMPL Licensing & Pricing

Licensing and pricing build to your specific needs

Free Xpress Trial with AMPL Community Edition

For learning optimization and benchmarking solvers – a one-time 1 month free trial of Xpress is available with a free Community Edition license.

Development Licenses

For building and testing optimization models with commercial solver integration and full support, ensuring a smooth path to enterprise deployment.

AMPL starting at

$300 / month

Billed annually, includes updates and basic support.

Xpress licenses and pricing all built to your specific needs. Contact sales for more.

Customize Enterprise Licenses

Build a custom plan – designed for large teams, multiple processes, high computational demands, or unique workflows.

All custom licenses built to your specific needs.

Real-World Applications for Xpress

AMPL empowers businesses across diverse industries to make smarter decisions, improve efficiency, and maximize performance through optimization. From supply chain logistics to financial modeling, our expertise helps organizations tackle real-world challenges with precision and speed.

Finance & Credit Risk Management

FICO Xpress Solver: Download, Pricing and Documentation

Optimizing Risk Assessment and Loan Portfolios

AMPL and FICO Xpress enable financial institutions to optimize credit risk models, loan portfolios, and investment strategies. By leveraging Xpress’s powerful solver, banks and lenders can efficiently assess risk, manage capital allocations, and comply with regulatory requirements while maximizing profitability.

Retail & Demand Forecasting

FICO Xpress Solver: Download, Pricing and Documentation

Optimizing Pricing, Inventory, and Supply Chains

FICO Xpress and AMPL help retailers make data-driven decisions in pricing, inventory management, and demand forecasting. By optimizing supply chains and logistics, companies can reduce costs, improve customer satisfaction, and ensure product availability while adapting to shifting market conditions.

Telecommunications & Network Optimization

FICO Xpress Solver: Download, Pricing and Documentation

Maximizing Network Efficiency and Capacity Planning

AMPL and FICO Xpress provide advanced optimization solutions for network design, traffic routing, and capacity planning. Telecom companies use these tools to enhance network efficiency, minimize congestion, and optimize infrastructure investments, ensuring seamless connectivity and cost-effective operations.

Recommended Resources

Get the most out of Xpress with these essential resources—documentation, tutorials, and expert guides to help you optimize efficiently.

Xpress for AMPL Documentation

Your go-to reference for using Gurobi, covering everything from installation to advanced solver techniques.

Xpress Parameters & Options

Fine-tune Xpress’ performance with a full list of solver parameters and configuration options.

MP Modeling Guide

Learn how to use the AMPL MP library to create flexible, solver-agnostic optimization models that work seamlessly with Xpress.

Xpress for AMPL on Google Colab

Run Xpress with AMPL directly in your browser using pre-configured Google Colab notebooks—no installation required.

Xpress for AMPL Change Log

Stay up to date with the latest improvements, bug fixes, and feature updates for the Xpress-AMPL interface.

How to Use Xpress for AMPL

Best practices for setting up Xpress with AMPL, running models, and optimizing solver performance.

Ready to get started?

Access a complete optimization application building platform with simple pricing, or work with our team to design a custom package specifically for your business needs.

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Customized Demos and Tutorials

Get in touch to book a time for us to talk about your specific needs, and demo real solutions.

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See our customers

From startups to Fortune 500s, explore how industry-leading companies use AMPL to optimize complex problems.