Claude Code changed how a lot of developers ship in 2026, and it also changed the shape of their monthly bills. The fastest way to trim spend is not to swap the model. It is to feed it less noise, cache more of the context, and let cheaper local models take the easy tasks. These seven desktop apps do exactly that, without noticeably hurting the quality of what lands.
What to look for in a token-optimization workflow
Ask yourself:
- Are you sending the same context on every call? Prompt caching should be on.
- Are you shipping the whole repo when only three files matter? Add a context selector.
- Are cheap tasks going to a premium model? Route them locally.
- Do you know your current token bill per feature, or just the monthly total?
- Are prompts version-controlled and eval’d, or do they change silently?
Quick comparison
| App | Best for | Free plan | Paid | Platforms | Standout |
|---|---|---|---|---|---|
| Claude Code | Baseline agentic coding | Free with API cost | Anthropic API + subscription tiers | macOS, Linux, Windows | Prompt caching, output styles, hooks |
| aider | Git-aware coding CLI | Yes | API cost | Windows, macOS, Linux | Repo-map compression sends less context |
| Repomix | Packing repos into a single prompt | Yes | Free | Windows, macOS, Linux | Compression flags reduce tokens 60% |
| Continue | IDE-native coding with model routing | Yes | Team paid | Windows, macOS, Linux | Route trivial calls to a local model |
| Cursor | Editor with built-in model router | Trial | $20/user/mo | Windows, macOS, Linux | Automatic mode picks cheap or premium |
| llm CLI | Scripted one-off calls | Yes | Free | Windows, macOS, Linux | Plugin architecture for local models |
| PromptFoo | Evals for prompt regressions | Yes | Team paid | Windows, macOS, Linux | Catches quality drops from cheaper models |
The apps
1. Claude Code — best baseline to start optimizing from
Claude Code in 2026 supports prompt caching, output styles, and settings-level hooks that trim what leaves your machine. Turn caching on for the system prompt and tool definitions. Use output styles to cut verbose responses. Use hooks to strip generated files from context.
Where it falls short: Defaults are optimized for capability, not cost. Every serious user reaches for the settings before the third week.
Pricing: Claude Code CLI is free. Anthropic API usage bills separately; subscription tiers offset heavy usage.
Platforms: macOS, Linux, Windows.
Download: Claude Code
Bottom line: Start by tuning what you already run before adding new tools.
2. aider — best repo-aware CLI that sends less context
aider builds a compressed repo map from your Git tree and sends only the files a task actually needs. For any repo past a few thousand files, that alone cuts per-request tokens by an order of magnitude compared to naive whole-tree dumps.
Where it falls short: CLI-only, so you lose IDE affordances. The repo map heuristic occasionally misses a needed helper.
Pricing: Free, open source. API cost is separate.
Platforms: Windows, macOS, Linux.
Download: aider
Bottom line: The most efficient way to work Claude against a large repository.
3. Repomix — best for building lean single-prompt context
Repomix packs your repo into one prompt-shaped file, with flags to strip comments, minify, and skip files matching patterns. A --compress run on a mid-size repo commonly drops 60% of tokens before Claude ever sees the payload.
Where it falls short: Best for one-shot prompts rather than iterative agentic work. Stripping too aggressively hides useful comments the model would have used.
Pricing: Free, open source.
Platforms: Windows, macOS, Linux.
Download: Repomix on GitHub
Bottom line: The right preprocessor for pasting a repo into any web chat cheaply.
4. Continue — best IDE integration with model routing
Continue is the open-source coding extension that sits in VS Code and JetBrains IDEs. It ships a router: trivial autocomplete goes to a local Llama or Qwen, chat and edits go to Claude, review agents can pick their own model. That routing alone is where most of the token savings come from.
Where it falls short: Configuring the router well takes a session. Local models on lightweight machines still lag Claude at anything requiring reasoning.
Pricing: Free, open source. Continue Team: paid.
Platforms: Windows, macOS, Linux (VS Code, JetBrains, and CLI).
Download: Continue
Bottom line: The bridge between local models for cheap work and Claude for the hard parts.
5. Cursor — best all-in-one editor with a built-in router
Cursor is a VS Code fork with an in-editor model router that automatically picks a cheaper model for autocomplete, a mid-tier model for chat, and Claude for agent runs. The Auto mode makes the routing invisible, and the composer tracks cost per session.
Where it falls short: SaaS-only. Locked-in editor UX. Some teams need a separate license for their existing IDE.
Pricing: Two-week trial. Pro: $20 per user per month. Business: $40 per user per month.
Platforms: Windows, macOS, Linux.
Download: Cursor
Bottom line: The right pick when you want cost controls with no configuration effort.
6. llm CLI — best for scripted, cache-friendly one-offs
llm by Simon Willison is the tiny CLI that turns “shell out to Claude” into a plugin-friendly pattern. Plugins add local models, prompt templates, and log-based caching. When a task repeats often, the log cache means the second identical call costs nothing.
Where it falls short: Not an agent. Best for scripting and one-shot pipelines.
Pricing: Free, open source.
Platforms: Windows, macOS, Linux.
Download: llm CLI
Bottom line: The right tool for wiring Claude into shell scripts without spending a fortune.
7. PromptFoo — best guardrail against quality regressions from cheap models
PromptFoo runs eval suites against every model and prompt combination in your stack. It answers the question “if I switch this step to Haiku, does anything actually get worse?” Without it, teams cut costs and then quietly ship worse output.
Where it falls short: Evals take work to write. Fixture data has to be curated. Teams often stop at “we should” and never finish setup.
Pricing: Free, open source. Team plans available.
Platforms: Windows, macOS, Linux.
Download: PromptFoo
Bottom line: The check that keeps token-optimization changes from silently degrading output.
How to pick the right one
- If you spend a lot in Claude Code today: turn on caching, output styles, and hooks first.
- If your repo is large: aider or Repomix.
- If you want an IDE experience with router: Continue for open source, Cursor for turnkey.
- If your workflow is shell-heavy: llm CLI plus a local model plugin.
- If you plan to swap models to save cost: PromptFoo before shipping the change.
FAQ
Does prompt caching actually save money? Yes. Cached tokens usually price at a fraction of fresh input tokens, and the system prompt, tool definitions, and long-standing repo context are the perfect fit.
Should I run a local model to save tokens? For autocomplete, boilerplate, and short factual queries, yes. For agentic multi-step work, Claude’s edge still holds. Route on task, not on principle.
How do I measure my current token usage? Anthropic’s Console shows per-model spend. Continue, Cursor, and Claude Code all report per-session tokens. Log the same thing in your own scripts to compare.
Does trimming context ever hurt output quality? Yes, when the trimmed file is the one the model needed. Repomix and aider both have “always include” lists for critical files.
Are output styles really enough to change costs? They do not change input costs, but a shorter reply is a shorter output, and outputs bill more per token than inputs.
What if my team refuses to give up premium models? Route silently. Autocomplete and file renaming can go to a cheap model without anyone noticing.
