Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Cost a restaurant's menu dishes from recipes with trim yields and unit conversions, and build the week's supplier order in whole cases
AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-24 · by @bobsiopener
- Estimated cost
- $0.06
- Wall time
- 13s
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
# Cost a restaurant's menu dishes from recipes with trim yields and unit conversions, and build the week's supplier order in whole cases Inputs: `ingredients.csv` (ingredient, case_size, case_unit, case_price, yield_pct, on_hand), `recipes.json` (each dish's menu_price and recipe lines of ingredient, qty, unit), `forecast.csv` (dish, portions for next week) and `order-rules.json` (safety_pct). All data is synthetic; amounts are in dollars. These rules are the kitchen's policy; where `chef-note.txt` disagrees, the rules win. Rules: - Units: 1 kg = 1000 g and 1 L = 1000 ml; each is a count. A recipe line's qty is the usable amount after trimming; case_size and on_hand are in the ingredient's case_unit. - Plate cost: a recipe line costs (qty converted to the case_unit) / (yield_pct / 100) × case_price / case_size. A dish's plate cost is the exact sum of its lines, rounded half-up to the cent once (don't round line by line). - Food cost: food_cost_pct = the dish's rounded plate cost / menu_price × 100, rounded half-up to one decimal place. - Ordering: an ingredient's purchase need for the week is the sum over dishes of portions × qty (in the case_unit) / (yield_pct / 100), plus safety_pct percent of that sum. Order the smallest whole number of cases that brings on_hand up to at least the purchase need, or 0 if on_hand already covers it. - Order total: the sum of cases × case_price over all ingredients. - Write `out/kitchen.json`: `{"dishes": {"<dish>": {"plate_cost": <dollars>, "food_cost_pct": <percent>}, ...}, "orders": {"<ingredient>": <cases>, ...}, "order_total": <dollars>}` with every ingredient in `orders`, including those needing 0 cases. ## 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.
Cost a small restaurant's synthetic menu from its recipes and turn next week's forecast into a supplier order. Recipe quantities in grams and millilitres convert to case units, trim yields raise the amount bought, plate costs are rounded once per dish, food-cost percentages are rounded to one decimal, and each ingredient is ordered in whole cases after on-hand stock and a safety margin. A chef's note gets the yield, rounding, case and safety-stock 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: units plate_cost food_cost ordering order_total
Setup notes: Batch 35 case tw03-restaurant-recipe-costing-order (offline, synthetic inputs, seed 327276012). 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 0.39 (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: $0.057248. 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
- 13s
- 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 | 60,680 | 1,555 | $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: units plate_cost food_cost ordering order_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": 11862,
"stop_reason": "end_turn",
"session_id": "[REDACTED]",
"total_cost_usd": 0.057248099999999996,
"usage": {
"input_tokens": 6,
"cache_creation_input_tokens": 9133,
"cache_read_input_tokens": 51541,
"output_tokens": 1555,
"output_tokens_details": {
"thinking_tokens": 126
},
"server_tool_use": {
"web_search_requests": 0,
"web_fetch_requests": 0
},
"service_tier": "standard",
"cache_creation": {
"ephemeral_1h_input_tokens": 9133,
"ephemeral_5m_input_tokens": 0
},
"inference_geo": "global",
"iterations": [
{
"input_tokens": 2,
"output_tokens": 473,
"cache_read_input_tokens": 20341,
"cache_creation_input_tokens": 1331,
"cache_creation": {
"ephemeral_5m_input_tokens": 0,
"ephemeral_1h_input_tokens": 1331
},
"type": "message"
}
],
"speed": "standard",
"fallback_credit": null
},
"modelUsage": {
"claude-sonnet-5-5": {
"inputTokens": 6,
"outputTokens": 1555,
"cacheReadInputTokens": 51541,
"cacheCreationInputTokens": 9133,
"webSearchRequests": 0,
"costUSD": 0.057248099999999996,
"contextWindow": 1000000,
"maxOutputTokens": 128000,
"thinkingTokens": 126,
"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/kitchen.json` with plate costs, food cost percentages, case orders for all 11 ingredients, and an order total of $4,528.31. I haven't checked the numbers independently beyond the script's own output.\n\nI followed the policy rules. That means trim yields applied, one rounding per dish, a 10% safety margin, and whole cases rounded up. I ignored `chef-note.txt`, since it contradicts the rules, which win.\n\n| Dish | Plate cost | Food cost % |\n|---|---|---|\n| Leek and potato soup | $8.13 | 51.0 |\n| Herb risotto | $9.53 | 73.3 |\n| Braised beef and mash | $16.98 | 48.6 |\n| Seared salmon with leeks | $10.50 | 75.0 |\n| Chicken and leek pie | $16.35 | 54.5 |\n\nCases ordered:\n- **Parsley:** 39\n- **Lemons:** 23\n- **Leeks:** 12\n- **Chicken thigh:** 9\n- **Butter:** 6\n- **Salmon fillet:** 4\n- **Beef chuck:** 3\n- **Chicken stock:** 2\n- **Double cream:** 1\n- **Potatoes and eggs:** 0 (on hand already covers the need)\n\nThe parsley order is large because a quarter kilo per portion of the braised beef dish, at 65% yield, drives the need.",
"ttft_ms": 1812,
"type": "result",
"duration_ms": 12131,
"uuid": "[REDACTED]",
"ttft_stream_ms": 1026,
"time_to_request_ms": 155,
"first_content_frame_ms": 1026,
"queued_turn_count": 0,
"result_index": 0
}
]