Updated October 2026
Measured on real traffic.
- of the bill saved by default
12.8%
of the bill saved by default
No model swaps. Nothing to set up.
- with model step-down on Heavy
41.8%
with model step-down on Heavy
Easy turns go to a cheaper model.
- live answers judged blind
314
live answers judged blind
To check the savings don't cost quality.
Share of the bill saved
Probe0 shrinks tool output without disturbing the part of the prompt your provider already has cached, and stops paying for cache time nobody uses. SuperCompress adds a running summary after tool calls, and that text is cached and re-read on every turn after it.
- Probe012.8%
- RTK9.6%
- Headroom (claimed)5.2%
- caveman0.3%
- Claude Code compaction<0.1%
- SuperCompress28.5% more
With model step-down on
Step-down sends easy turns to a cheaper model in the same family. It's off by default. Turned on, the saving grows with how much traffic you let it move.
- Heavy41.8%
- Medium36.2%
- Light24.0%
- Off12.8%
- RTK, for reference9.6%
Does it cost quality?
Every saving that changes what the model sees was tested live on real models, with objective checks first and a blind judge after.
Opus → Sonnet on easy and hard turns
25 prompts, 3 models, blind-judged
Same objective pass rate. Judge gaps smaller than the judges' disagreement with each other.
On by defaultLower effort on tool turns
25 prompts × 3 effort levels
17 of 17 objective checks passed at every level.
On, with a floorFolding long shell output
12 prompts of real command output
About 1% expected answer cost. When a detail was folded away, the agent asked to re-run the command instead of guessing.
On by defaultCache timing and fan-out
Not needed
Changes no byte of the prompt, so it can't change an answer. Worth 7% of the bill on its own.
No risk
Compressing long documents
Probe0 scores each line against the question being asked and keeps the ones that name what it's about, so the answer survives a deeper cut.
| Measure | Probe0 | SuperCompress | Probe0 ahead by |
|---|---|---|---|
| Answers kept+0.8 pts ahead | 97.8% (better) | 97.0% | +0.8 pts |
| Tokens removed+2.6–3.0 pts ahead | 67.6–67.8% (better) | 64.6–65.2% | +2.6–3.0 pts |
| Suite runs that pass the 98% / 55% bar2× as many ahead | 8 of 16 (better) | 4 of 16 | 2× as many |
| Lowest average removal in a run+5.6 pts ahead | 58.0% (better) | 52.4% | +5.6 pts |
How it was measured
Twelve days of one developer's real Claude Code traffic, replayed through each tool on the same bill. Quality checks ran live on real models.
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