Task
Change a page title. Only modify index.html.
- All-strong estimate
- $0.42
- tokenpatch actual
- $0.08
- Saved
- 81%
Keep using Codex, Claude Code, Cursor, or your own agent. Type tp: for bounded coding tasks, route patch execution to a lower-cost executor, and see the savings ratio for every run.
Example savings snapshot
Change a page title. Only modify index.html.

Your strong model stays in charge. tokenpatch handles bounded patch execution in the local project.
Reports show actual cost, all-strong baseline, estimated savings, and cost per applied patch.
BYOK works now. Hosted credits are planned later for users who cannot easily manage a DeepSeek API key.
AI coding cost optimization
Most AI coding cost is not spent on final judgment. It is spent on repeated implementation loops, patch rewrites, test fixes, and small file edits. tokenpatch separates that workflow: your strong model decides what should happen, then a bounded executor handles the narrow patch.
Use Codex, Claude Code, Cursor, or another agent for repo understanding, task decomposition, and review.
Use allowed files and acceptance criteria so the low-cost executor works inside a clear boundary.
Reports show executor tokens, estimated all-strong baseline, actual cost, and savings per accepted change.
High-intent use cases
| Search intent | tokenpatch answer | Start here |
|---|---|---|
| How to reduce Codex token cost | Keep Codex in charge and route bounded implementation patches through BYOK DeepSeek. | Codex use case |
| Claude Code cost savings | Use Claude for planning and review, then measure lower-cost patch execution separately. | Claude Code use case |
| Cursor DeepSeek executor | Add a file-scoped executor lane to Cursor without replacing the editor workflow. | Cursor use case |