Eris Solver is a powerful optimization software for solving complex mathematical problems.
Starting at $99/month
Best Gurobi Optimizer Alternatives ranked by AI · updated May 2025
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Gurobi is a high-performance mathematical optimization solver.
Price: Contact for pricing
Top 6 Gurobi Optimizer alternatives
IBM ILOG CPLEX Optimization Studio is an enterprise optimization suite for modeling and solving planning, scheduling, logistics, and resource-allocation problems. It combines...
Pros
- Mature solver for linear, mixed-integer, and constraint programming
- OPL provides a concise language for complex optimization models
- Strong fit for enterprise planning and scheduling deployments
Cons
- Commercial licensing is costly compared with open-source options
- Steeper learning curve than application-focused planning software
- Community Edition has model and usage limitations
Free Community Edition; commercial pricing by quote
MiniZinc is a high-level modeling language for expressing constraint satisfaction and constraint optimization problems. It targets multiple constraint programming, mixed-integer, and SAT-based...
Pros
- Solver-independent models can target CP, MIP, and SAT backends
- Compact declarative syntax is well suited to scheduling and combinatorial problems
- Includes an IDE, standard library, tutorials, and benchmark suite
Cons
- Less suitable than mathematical modeling systems for large continuous optimization models
- Performance depends heavily on the selected backend solver
- Requires learning a domain-specific modeling language
Free and open source
MOSEK is a software package for solving mathematical optimization problems.
Pros
- Fast and reliable optimization algorithms
- Support for various optimization problem types
Cons
- Higher cost for some users
Starting at $2,000/year
5
Google
OR-Tools
OR-Tools is an open-source optimization suite with CP-SAT, routing, linear programming, and scheduling APIs. It is aimed at developers and operations researchers...
Pros
- Strong CP-SAT solver for integer, scheduling, and Boolean optimization
- More direct integration with production applications than MiniZinc
- Includes mature vehicle-routing and network optimization components
Cons
- Requires more procedural code than MiniZinc for many constraint models
- CP-SAT focuses on integer and Boolean variables rather than general finite-domain modeling
- Solver portability is narrower than MiniZinc's multi-backend approach
Free and open source
6
AMPL
AMPL Optimization Inc.
AMPL is a mathematical modeling language for linear, nonlinear, mixed-integer, and constraint optimization. It is used by operations researchers and analysts who...
Pros
- More expressive than MiniZinc for algebraic and continuous optimization
- Supports many commercial and open-source solver backends
- Strong model-data separation simplifies reusable planning models
Cons
- Commercial usage generally requires a paid subscription
- Constraint programming support is less central than in MiniZinc
- Solver licensing can add substantially to total cost
Free trial; paid plans from $45/mo
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