Optimization & simulation · IBM

IBM ILOG CPLEX Optimization Studio

IBM's commercial solver and modeling studio for linear, mixed-integer, quadratic and constraint programming.

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CPLEX is a mathematical solver bundled with IBM's Optimization Studio, which pairs the solver with OPL (a modeling language) and a development IDE. It solves linear programming, mixed-integer programming, quadratic and quadratically-constrained programming, and, through its CP Optimizer component, constraint programming problems such as scheduling. As with other solvers, a practitioner typically expresses the problem in OPL, AMPL, Pyomo or a language API (Python, Java, C++, .NET) and calls CPLEX to compute the answer. It is used across supply chain planning, workforce scheduling, network design and financial portfolio optimization. Licensing is commercial, with a size-limited free Community Edition and a full-featured free Academic Edition for degree-granting institutions.

At a glance

Vendor IBM
Pricing model Subscription
Free tier Yes
Deployment Cloud, Self-hosted
Open source No
Best for Enterprises already on IBM's stack that need a mature commercial solver plus constraint programming for scheduling problems.

Pricing

Free Community Edition (1,000 variables/constraints) and free Academic Edition; paid Developer Subscription starts at a published monthly rate, with custom pricing for server/cluster deployments.

Plan Price Notes
Community Edition Free Limited to 1,000 variables and 1,000 constraints
Developer Subscription from $320/month Per authorized user, development use only, unlimited variables/constraints
Deployment (server/cluster/cloud) Custom quote Machine, user, or thread-based licensing
Academic Edition Free For eligible students and faculty via IBM Academic Initiative, no size limits

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Simplex, barrier and network solvers for linear programming
  • Branch-and-cut mixed-integer solver
  • CP Optimizer for constraint and scheduling problems
  • OPL modeling language and integrated development environment
  • Python, Java, C++, .NET and MATLAB APIs
  • Parallel and distributed solving for large models
  • Sensitivity analysis and conflict refinement tools

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

Gurobi Optimizer Commercial mathematical solver for linear, mixed-integer and quadratic optimization problems. FICO Xpress Optimization FICO's commercial solver suite for linear, mixed-integer, quadratic and nonlinear optimization. Google OR-Tools Open-source optimization suite for routing, linear, integer and constraint programming problems.

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Terms to know

Prescriptive analytics Analytics that recommends specific actions by combining predictions with optimization or decision rules. Linear programming (LP) An optimization method that finds the best outcome for a problem whose objective and constraints are all linear relationships. What-if analysis Testing how a model's output changes when one or more input assumptions are changed, to explore specific alternative outcomes.

Related guides

How to choose an optimization or simulation tool Solvers compute one best answer to a math problem; simulators show how a system behaves over time. Pick the discipline before the vendor.