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Timefold

What ChatGPT, Claude, Gemini & Grok actually say · July 2026

The verdict

Timefold appears in 1 AI-ranked category — best position #5 for route optimization api for delivery fleets.

GPT Claude #4Gemini #3

The strongest engine for solving hyper-complex scheduling and loading constraints. As the successor to the open-source OptaPlanner, it handles multi-dimensional business logic (such as driver union work laws, cargo compatibility, and strict vehicle loading sequences) that standard mapping APIs cannot represent, executing with industry-leading algorithmic speed.

Claude The successor to OptaPlanner, offering both an open-source solver and a hosted Field Service Routing API; unmatched when your problem doesn't fit standard VRP boxes — arbitrary custom constraints, fairness rules, skill matching — expressed in code rather than fixed API parameters, with a real company behind support and continuous solving for same-day insertion

Where Timefold falls short, per the models

  • Claude It's a solver, not a routing stack — you bring your own distance matrix and map data, and modeling custom constraints demands real engineering investment versus a fill-in-the-JSON API
  • Gemini It is strictly an optimization solver and does not contain any geographic mapping or routing network data, forcing developers to build and maintain integrations with a separate GIS/routing backend to generate distance matrices.

Top alternatives per the models: Google Maps Route Optimization API · NextBillion.ai · GraphHopper · HERE Tour Planning API

Watch Timefold

Boards re-poll weekly and the models change their minds. One short email only when Timefold's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

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Timefold ranks #5 for best route optimization api for delivery fleets by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

Timefold — ranked #5 for Best route optimization API for delivery fleets by AI models on ModelsAgree
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Rankings are computed from what the models answer, re-polled weekly · raw reasoning shown verbatim · methodology