Claude Code & Codex sessions.includes 24 sessions from 4 A/B runs
vs your team's usage before Code Lexica
Stacked by attribution; the violet band is the estimated spend if no one had used Code Lexica.
Share of messages by model — the shift from expensive to cheaper models.
Share of tokens by type — cache reads are ~10× cheaper than fresh input.
Unit economics
Normalized rates — comparable across windows regardless of team size or volume. The equation above explains what moves them.
API-rate value / 1K messages
$216.0420%
64,100 messages this window
API-rate value / active hour
$11.1918%
1238h of active coding time
Cache hit rate
74%9%
$5,120.40 saved by caching
API-rate value / completed session
$8.0923%
1,712 sessions completed their task — Code Lexica sessions complete 15pp more often
2026-05-18 → 2026-07-13, attributed one factor at a time in a fixed order — nothing left unexplained. Devs and messages shown for reference; the comparison is message-grained.
The same task, run with and without Code Lexica, priced identically — the strongest evidence tier on this page.
−31%
median cost vs baseline
−28%
median tokens vs baseline
4
completed controlled runs
Controlled runs are always shown; the A/B switch above governs the observational panels.