← CherryOnTop

Benchmark methodology

Both studies compare CherryOnTop with Claude Code 2.1.296 using the same model (Claude Haiku 5.5), API-billed, on identical tasks with hidden-test verification. They were run by the CherryOnTop team. They have not been independently replicated.

Study 1: real repositories

32 task slots, 2 repeats, 63 of 64 pairs analysed (126 runs), medium effort, $1 cap per run. Pair 45 is excluded because its verifier timed out in all three attempts. Intervals are paired bootstrap over tasks (5,000 resamples).

MetricClaude CodeCherryOnTop95% CI of difference
Verified success44/63 (69.8%)45/63 (71.4%)−4.8 to +8.2 pp
Cost per attempted task$0.0102$0.0094−$0.0032 to +$0.0019 (includes zero)
Total billed tokens per task383,522274,477−199k to −26k
Median wall-clock806 s505 s−438 to −143 s
Median active agent time67 s100 s+4 to +64 s (CherryOnTop slower)

Success is equivalent within the predeclared −10 pp margin, not better. 15 of 63 pairs fail on both systems (concurrency, performance, API compatibility, Java, Go). Wall-clock is lower partly because Claude Code installs itself per container until the images were pre-seeded identically for both arms. Total billed tokens count cache reads and writes.

Study 2: Terminal-Bench 2.1 (pre-registered)

12 tasks, 3 repeats, 35 valid pairs, high effort, $0.50 cap per run, 900 s agent timeout. The decision rule was fixed before the run.

MetricClaude CodeCherryOnTopResult
Verified28/3530/35+5.7 pp, CI 0.0 to +13.9
Cost per attempt$0.0122$0.0091ratio 0.770, CI 0.679 to 0.878
Agent timeCherryOnTop 2.0× slowermostly tool execution and waiting

Limits

One model, small samples, one team's harness. CherryOnTop's cost advantage concentrates in long, hard and large-repository tasks; on medium tasks it was equal or slightly more expensive. The current build runs on Linux x64 only. Contact: abhay.chourasiya.work1@gmail.com.