Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Bill a hotel's group bookings across a mid-month rate rise, weekend nights, cancellations with time-zone offsets and a city-tax cap
AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.06
- Wall time
- 14s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Bill a hotel's November group bookings Inputs: `bookings.csv` (booking_id, guest, company, room_type, arrive, depart, guests, status, cancelled_at, checkout_time), `rates.csv` (room_type, from_date, weekday, weekend), `hotel.json` and `front-desk-note.txt`. Amounts are in pounds. `hotel.json`, `rates.csv` and these rules are the record; where the front-desk note disagrees, the rules win. Rules: - Each night of a stay (arrive up to the night before depart) is charged at the rate in force on that night's date (the row with the latest from_date on or before it); nights falling on a weekday listed in weekend_nights use the weekend rate. - A booking whose company is in corporates (ignoring letter case) gets corporate_discount_pct off its room charge or cancellation charge only, the discount rounded half-up to 0.01 per booking. - A stayed booking whose checkout_time is later than late_checkout_after pays late_fee; checking out exactly at late_checkout_after is free. - A cancelled booking is free if cancelled_at (which carries its own UTC offset) is at least free_cancel_hours before checkin_time on the arrival date in the hotel's timezone; otherwise, and for every no_show, the first night's room rate is charged. - City tax for a stayed booking = guests x nights x city_tax_per_person_night, counting at most city_tax_max_nights nights. - Write `out/billing.json`: `{"room": {"<booking_id>": <room charge after discount>, ...}, "late_fees": {...}, "cancellation_charges": {...}, "city_tax": {...}, "total": <sum of everything>}`. `room` and `city_tax` list every stayed booking; `late_fees` and `cancellation_charges` list only bookings charged one. ## 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.
Bill a month of hotel bookings night by night. Rates rise mid-month and Friday and Saturday nights are dearer, corporate names appear in mixed letter case, checkout exactly at 11:00 is free, cancellations carry their own UTC offsets and land either side of the 48-hour line, and city tax stops after five nights. A front-desk note gets the rate, time-zone and late-checkout rules wrong. 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: nightly_rates corporate_discount cancellations late_checkout city_tax_and_total
Setup notes: Batch 30 case o01-hotel-group-billing (offline, synthetic inputs, seed 1201124906). 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 0.74 (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: $0.057383. Score: 5/5. 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
- $0.06
- Wall time
- 14s
- Human step-ins
- 0
- Turns
- 3
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| AClaude Sonnet 5.5anthropic/claude-sonnet-5.5effort default (no --effort flag) · thinking on | 60,081 | 1,633 | $0.06 |
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 on) via
Claude Code 2.1.299 (headless -p), cloud. - It counts as a success only if it meets every success criterion: nightly_rates corporate_discount cancellations late_checkout city_tax_and_total
- 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.
Was this useful?
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
[
{
"duration_api_ms": 12701,
"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.0573832,
"usage": {
"input_tokens": 6,
"cache_creation_input_tokens": 8983,
"cache_read_input_tokens": 51092,
"output_tokens": 1633,
"output_tokens_details": {
"thinking_tokens": 232
},
"server_tool_use": {
"web_search_requests": 0,
"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
"ephemeral_1h_input_tokens": 8983,
"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 315,
"cache_read_input_tokens": 19946,
"cache_creation_input_tokens": 1576,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 1576
},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
"claude-sonnet-5-5": {
"inputTokens": 6,
"outputTokens": 1633,
"cacheReadInputTokens": 51092,
"cacheCreationInputTokens": 8983,
"webSearchRequests": 0,
"costUSD": 0.0573832,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 232,
"canonicalModel": "claude-sonnet-5-5",
"provider": "firstParty",
"costBasis": "list"
}
},
"permission_denials": [],
"terminal_reason": "completed",
"fast_mode_state": "off",
"fast_mode_disabled_reason": "sdk_opt_in_required",
"subagent_stats": {
"spawned": 0,
"requested": {
"background": 0,
"foreground": 0,
"unset": 0
},
"started_in_background": 0,
"max_depth": 0,
"spawned_by_subagents": 0,
"completed": 0,
"failed": 0,
"killed": {
"parent": 0,
"user": 0,
"system": 0
},
"refused": {
"depth_limit": 0,
"concurrency_limit": 0,
"budget": 0
},
"by_type": {}
},
"safety_stops": 0,
"is_error": false,
"num_turns": 3,
"subtype": "success",
"api_error_status": null,
"result": "I wrote `out/billing.json`. The total is \u00a36,877.40.\n\n- **Included:** 12 stayed bookings with room charges and city tax, 2 late fees (HB-98 and HB-115, both checking out at 12:30), and 1 cancellation charge.\n- **Cancellation charge:** HB-97 is a no-show and pays its first night. That is \u00a3139.00 at the weekend rate less the 10% corporate discount, so \u00a3125.10.\n- **Free cancellations:** HB-118, HB-120 and HB-103 were all cancelled at least 48 hours before check-in, so they pay nothing. I used 15:00 UK time on the arrival date and each booking's own UTC offset.\n- **Where I followed the rules over the front-desk note:** each night is charged at the rate for that night's date, not the arrival night's rate, and checkout at exactly 11:00 is free.\n\nI haven't opened or spot-checked the output beyond the printed totals.",
"ttft_ms": 2135,
"type": "result",
"duration_ms": 13211,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1297,
"time_to_request_ms": 369,
"first_content_frame_ms": 1297,
"queued_turn_count": 0,
"result_index": 0
}
]