- Automatically detect Gurobi 13.0 and potential future versions.
- Enable projection of arrays of tuples and records using field access notation (issue 970).
- Enable anonymous assignment generators in comprehensions.
- Rewrite
regulartofzn_regularinstead offzn_regular_setwhen possible, in order to improve performance for solvers that do not supportfzn_regular_setnatively (issue 981). - Add
zipandunzipfunctions to the standard library (issue 967). - Add enum constructors lifted to arrays (issue 965).
- Add
sliding_amongconstraint to the standard globals library (issue 960). - Improve support for input of enum definitions using using JSON data files.
- Plus 19 bugfixes!
MiniZinc
MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.
Latest release: 2.9.5 (changelog)
MiniZinc is developed at Monash University with support from OPTIMA.
Why choose MiniZinc?
High-level language
Model constraint satisfaction and optimisation problems using readable, intuitive logical constructs, with full type safety.
Solver independent
Run the same model using a variety of different solver technologies, without being locked into a particular solver.
Pre-defined constraints
MiniZinc features a large library of pre-defined constraints, making modelling complex relationships simple.
Fully featured development environment
Use the MiniZinc IDE to write and run models, visualise search and solutions, profile performance and more.
In-depth learning materials
MiniZinc has comprehensive documentation, including the tutorial, several courses, the user manual, and library documentation.
Integrate MiniZinc into your project
MiniZinc can be embedded into Python and JavaScript programs, and can even be used entirely from within the browser.
Latest Release
MiniZinc 2.9.5
Released 23 January 2026
Get your MiniZinc stickers, mugs, t-shirts etc. (sold at cost price)!