Files
ponytail/benchmarks/README.md
T
EmerikoandClaude Opus 4.8 321a59c82f feat: reproducible promptfoo benchmark + 3-model results
Commit a promptfoo harness (config + arm prompts + LOC metric + vendored
caveman SKILL) so anyone can re-run the comparison: no-skill vs caveman vs
ponytail, across Haiku / Sonnet / Opus, 10 runs per cell, median reported.

Replace the old unreproducible 6-task chart with assets/benchmark-3model.svg
from this run, and reframe the README to the reproducible numbers: ponytail
writes 80-94% less code, costs 47-77% less, and runs 3-6x faster than a
no-skill agent on every model. benchmarks/README.md carries the median tables
and the reproduce command. Drops nothing that is not measured.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-13 05:08:55 +02:00

1.8 KiB

Benchmark

Three arms (no skill, caveman, ponytail), three models, five everyday tasks, 10 runs per cell, median reported. Code LOC is counted from fenced code blocks; tokens, cost, and latency come straight from the API.

Reproduce

cp ../.env.example ../.env      # add your ANTHROPIC_API_KEY
npx promptfoo@latest eval -c promptfooconfig.yaml --repeat 10
npx promptfoo@latest view

Tasks: email validator, JS debounce, CSV sum, React countdown, FastAPI rate-limit (see promptfooconfig.yaml). Single-shot completions, default temperature.

Median results (10 runs, 2026-06-13)

Code (lines)

arm Haiku Sonnet Opus
baseline (no skill) 518 693 256
caveman 116 120 67
ponytail 39 44 51

Cost (USD, 5 tasks)

arm Haiku Sonnet Opus
baseline (no skill) 0.032 0.141 0.135
caveman 0.014 0.045 0.075
ponytail 0.010 0.032 0.071

Latency (seconds, 5 tasks)

arm Haiku Sonnet Opus
baseline (no skill) 37.7 124.1 58.7
caveman 14.9 34.7 23.1
ponytail 9.9 20.1 18.0

Versus baseline, ponytail writes 80-94% less code, costs 47-77% less, and runs 3-6x faster — on every model.

Notes

  • Caveman is a prose-compression skill (it leaves code "normal"), so it lands between baseline and ponytail on code size and wins mainly on prose tokens.
  • Cost reflects single-shot calls that re-send the skill every time. In real sessions the skill is injected once and prompt-cached, so the cost gap widens further in ponytail's favor.
  • These are everyday tasks. For production-grade specs, where an unconstrained agent bloats much harder, see the writeups in results/.