Claude Sonnet 5.5 (effort default (no --effort flag) · thinking off) on Invoice a caterer's events with a large-party discount, weekday minimum spends, a service charge and VAT

AClaude Sonnet 5.5default · thinking off · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.05
Wall time: 9s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Invoice a caterer's events for November Inputs: `events.csv` (each booked event: date, guests, menu), `menus.json` (price per head for each menu) and `terms.json` (the weekday minimum spends). Every amount is in pounds. Invoice rules, per event: - Food = per-head price x guests, except that guests beyond the first 100 are charged at 10% off the per-head price. - If food is below the minimum spend for the event's weekday in terms.json, add a top-up so that food plus top-up equals the minimum; otherwise the top-up is 0. - Service charge is 12.5% of food plus any top-up. - VAT at 20% applies to food, top-up and service charge. - Round food, service charge and VAT each to the cent half-up as you compute them (later steps use the rounded figures); total = food + top-up + service charge + VAT. Write `out/invoices.json`: `{"food": {"<event_id>": <food>, ...}, "top_up": {...}, "service": {...}, "vat": {...}, "total": {...}, "grand_total": <sum of the totals>}` with every event in `events.csv`. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Invoice a month of catered events from guest counts and menu prices. Guests beyond the first 100 get 10% off, events below their weekday's minimum spend get a top-up, a 12.5% service charge covers food and top-up, and VAT covers everything. Discounting every guest, leaving the top-up out of the service charge or leaving service out of VAT each change invoices. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).

Success criteria: tier_discount minimum_spend service_charge vat_and_totals

Setup notes: Batch 24 case z01-event-catering-invoices (offline, synthetic inputs, seed 2729327952). Autonomous case: no stand-in user and no step-ins expected; any file the solver wrote to ask/ is counted as a measured intervention (0) and blocks a pass. Prompt = TASK.md verbatim. Hidden key kept outside the solver's work dir. Scored with the case's scorer (python3 score.py WORKDIR KEYDIR, absolute paths); pass = every check true and no ask/ files. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. 1-min load average at scoring 0.41 (8 cores). Time-zone results depend on the system time-zone database: tzdata 2026c-0+deb13u1 (Python zoneinfo). Claude Code's own reported cost for claude-sonnet-5.5: $0.045078. Score: 4/4. Cost is an ESTIMATE: measured tokens x pricing.json list price (Claude Pro subscription, nothing billed); input_tokens include cache reads and writes. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.05
Wall time: 9s
Human step-ins: 0
Turns: 3

Model usage
Model	Input tok	Output tok	Cost
AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking off	57,587	890	$0.05

Reproduce this run

Use the use case prompt on the use case page.
Same setup: Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5, effort default (no --effort flag) · thinking off) via Claude Code 2.1.299 (headless -p), cloud.
It counts as a success only if it meets every success criterion: tier_discount minimum_spend service_charge vat_and_totals
Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Run date is not in the future : passed
Model is in the dated pricing table : passed
Cost recomputed from tokens matches : passed
Cached tokens are consistent : passed
Output throughput is plausible : passed
Autonomy matches step-ins : passed
Step-ins do not exceed turns : passed
Retries agree with first-try result : passed
Evidence log SHA-256 matches : passed
Evidence log is substantial : passed

Evidence log

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  "permission_denials": [],
  "terminal_reason": "completed",
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  "subagent_stats": {
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  "result": "I've written `out/invoices.json` with all 9 events from `events.csv`. The grand total is \u00a345,556.37. I ran the calculation once and didn't check the figures by hand.\n\nThree events were below their weekday minimum spend and got a top-up:\n\n| Event | Day | Top-up |\n|---|---|---|\n| EV-3114 | Saturday | \u00a31,911.42 |\n| EV-3142 | Thursday | \u00a3808.48 |\n| EV-3156 | Saturday | \u00a31,550.88 |\n\nThe two events with more than 100 guests (EV-3112 and EV-3140) had the 10% discount applied to the guests beyond the first 100.\n\nWeekdays came from each event's date. Food, service charge and VAT were each rounded half-up to the cent as computed, and the later steps used the rounded figures.",
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  "uuid": "[REDACTED]",
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  "time_to_request_ms": 287,
  "first_content_frame_ms": 1329,
  "queued_turn_count": 0,
  "result_index": 0
 }
]