Use cases

Reduce AI coding cost where developers already work.

tokenpatch is built for coding agents and editor workflows, not generic chat routing. The strong model keeps planning and judgment control; tokenpatch handles bounded implementation patches and reports whether the saved tokens produced an applied change.

Codex token savings

Keep Codex in charge of reasoning while tokenpatch handles bounded patch execution and reports cost per applied change.

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Claude Code cost savings

Use Claude for planning and review, then route narrow implementation work to DeepSeek V4 Pro through tokenpatch.

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Cursor DeepSeek executor

Use Cursor as the coding environment and tokenpatch as a low-cost executor layer for file-scoped tasks.

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Best tasks for tokenpatch

Documentation edits, test additions, small route changes, UI copy, bounded refactors, and bug fixes where the target files are known.

Tasks to keep on the strong model

Architecture decisions, unclear product requirements, multi-system security changes, and work that cannot be constrained by allowed files.

Why this ranks differently

Generic model routers optimize requests. tokenpatch optimizes the developer task: patch boundary, applied change, recovery point, and savings report.