Claude Sonnet 5.5 (effort default (no --effort flag) · thinking on) on Decide which ride offers a driver should accept from their own trip history, costs and stated rules

AClaude Sonnet 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-25 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.06
Wall time: 12s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Decide which ride offers a driver should accept from their own trip history, costs and stated rules Inputs: `trips.csv` (the driver's own past trips: trip_id, date, pickup_min, trip_min, pickup_miles, trip_miles, fare, tip), `offers.json` (tonight's incoming offers in the order they arrive: id, offered_at HH:MM, pickup_min, pickup_miles, trip_min, trip_miles, fare, surge, dropoff_zone) and `driver-rules.json` (cost_per_mile, min_rate_pct, max_pickup_miles, surge_relax_at, surge_extra_pickup_miles, min_net_per_mile, shift_end HH:MM on the same evening, possibly 24:00, end_window_min, home_zones). All trips, offers and places are synthetic; amounts are in dollars. These are the driver's own rules; where `forum-tips.txt` disagrees, the rules win. Rules: - Baseline rate: from trips.csv, (sum of fare + tip − cost_per_mile × sum of pickup_miles + trip_miles) ÷ (sum of pickup_min + trip_min ÷ 60), rounded half-up to the cent. The hourly bar is baseline rate × min_rate_pct ÷ 100, rounded half-up to the cent. - Offer money: gross = fare × surge, rounded half-up to the cent. Net = gross − cost_per_mile × (pickup_miles + trip_miles), rounded half-up to the cent. Net per hour = net ÷ ((pickup_min + trip_min) ÷ 60) and net per mile = net ÷ (pickup_miles + trip_miles), each rounded half-up to the cent. Compare the rounded values. - Decide each offer in arrival order and give the first reason that applies: busy (it arrives before the previously accepted trip ends; a trip ends at offered_at + pickup_min + trip_min), past_shift_end (it would end after shift_end), end_of_shift_zone (it would end at or after shift_end − end_window_min minutes, and dropoff_zone is not in home_zones), deadhead (pickup_miles is above max_pickup_miles, or above max_pickup_miles + surge_extra_pickup_miles when surge is at least surge_relax_at), per_hour (net per hour is below the hourly bar), per_mile (net per mile is below min_net_per_mile). If none applies, accept with reason accept. - Write `out/decisions.json`: `{"baseline_rate": <dollars per hour>, "hourly_bar": <dollars per hour>, "offers": {"<id>": {"decision": "accept"|"decline", "reason": "<reason>", "net": <dollars>, "net_per_hour": <dollars>}, ...}, "accepted": [<ids in arrival order>], "accepted_net_total": <dollars>}`. ## 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.

Screen a synthetic evening of ride offers for a driver. The driver's own baseline hourly rate comes from their past trips after per-mile costs, including the unpaid drive to each pickup. Each offer is priced with surge and costs, then accepted or declined by the driver's rules in order: already busy, past the shift end, ending near the shift end outside home zones, too far to the pickup (relaxed under high surge), below the hourly bar, below the per-mile floor. A forum-tips file gets the costs, stacking and rate 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: baseline_rate offer_money decisions accepted_total

Setup notes: Batch 37 case ty03-rideshare-offer-acceptance (offline, synthetic inputs, seed 844531914). 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 0.29 (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: $0.055421. 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: $0.06
Wall time: 12s
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 on	60,066	1,566	$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: baseline_rate offer_money decisions accepted_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.

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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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  "session_id": "[REDACTED]",
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   "output_tokens_details": {
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   "server_tool_use": {
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   "service_tier": "standard",
   "cache_creation": {
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     "cache_creation": {
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      "ephemeral_1h_input_tokens": 1282
     },
     "type": "message"
    }
   ],
   "speed": "standard",
   "fallback_credit": null
  },
  "modelUsage": {
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    "inputTokens": 6,
    "outputTokens": 1566,
    "cacheReadInputTokens": 51408,
    "cacheCreationInputTokens": 8652,
    "webSearchRequests": 0,
    "costUSD": 0.0554208,
    "contextWindow": 1000000,
    "maxOutputTokens": 128000,
    "thinkingTokens": 115,
    "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": {
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   "refused": {
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   "by_type": {}
  },
  "safety_stops": 0,
  "is_error": false,
  "num_turns": 3,
  "subtype": "success",
  "api_error_status": null,
  "result": "I wrote `out/decisions.json`. The script accepts 4 of the 15 offers: OF714, OF728, OF763 and OF784. Their net total is $152.61.\n\n- **Baseline and bar:** the baseline rate is $54.24 an hour. `min_rate_pct` is 100, so the hourly bar is also $54.24.\n- **Rules over forum tips:** I followed your rules, not `forum-tips.txt`. Pickup miles count toward cost, and the baseline is total net over total hours, not an average of each trip's hourly rate.\n- **Order and busy check:** offers are in file order, which is also sorted by `offered_at`. An offer arriving exactly when the accepted trip ends counts as free, not busy.\n\nI didn't check the output against any reference. The only run was the script's own, and I didn't look at the per-offer reasons beyond the summary above.",
  "ttft_ms": 1769,
  "type": "result",
  "duration_ms": 11137,
  "uuid": "[REDACTED]",
  "ttft_stream_ms": 866,
  "time_to_request_ms": 164,
  "first_content_frame_ms": 866,
  "queued_turn_count": 0,
  "result_index": 0
 }
]