Slim cuts Claude's overhead
by up to 83%
Two test suites. Same model. Every tool call, token, and second measured.
Single session · 10 build tests
−85%
Fewer calls
−72%
Fewer tokens
$1.44
Cost saved
15m 46s
Time saved
Across 10 apps — Node.js + Python, build from scratch
8 h/day · 20 working days · one large repo
$631
saved per month
$125 with Slim vs $756 vanilla
19h
Hours returned
of dev time/month
20M
Tokens saved
tokens/month
Project complexity
Next.js 15 legal AI SaaS (private repo)7,256
Total files
1,326 .tsx + 1,699 .ts
783
Components
avg 290 lines each
192
Dependencies
prod packages
4,375 lines
Largest file
171 MB total
−72%
Fewer calls
3 modification tasks
−82%
Fewer tokens
3 modification tasks
$7.18
Cost saved
3 modification tasks
13m 12s
Time saved
3 modification tasks
All 3 tasks — side by side
Tool calls
Tokens used
API cost (USD)
Wall-clock
Key finding: token penalty grows with file size
Task 2 involved a single 2,478-line file. Vanilla must Read up to 2,000 lines to locate the injection point at line 1,049 — loading ~8,000 tokens of irrelevant context. Slim's Search returned the 20 relevant lines in one call, cutting input tokens by 74%.
Combined totals — 3 modification tasks
$7.18 saved across 3 real-world modifications
72% fewer calls · 82% fewer tokens · 13m 12s returned
What does this cost at scale?
8 hours a day in a large codebase, 20 working days. Here's where the money goes.
Cumulative API cost — 8 h/day × 20 days
15 tasks/day · mixed complexityCumulative API cost over 20 working days
Monthly totals
$631
Monthly cost saved
$125 with Slim vs $756 vanilla
1,860
Fewer tool calls
780 vs 2,640 / month
20M
Tokens saved
4.6M vs 25M
19h
Time returned
5.1h vs 24.3h waiting