Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) on Required minimum distributions from a supplied divisor table, with and without delaying the first one

AClaude Haiku 5.5default · thinking on · Claude Code 2.1.299 (headless -p) · cloud · 2026-10-20 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first tryCompare

Estimated cost: $0.0075
Wall time: 31s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Required minimum distributions from a supplied divisor table, with and without delaying the first one `input.json` describes retirement accounts, yearly growth, a **fictional** life-expectancy divisor table and fictional tax brackets. Write `solve.py` (Python 3 standard library only) so that `python solve.py input.json answer.json` builds the year-by-year distribution schedule for two choices and compares the tax. Use only the rules below and the input. We re-run it on fresh inputs, so do not hard-code anything. ## Input `birth_year`, `start_age` (first age with a required distribution), `first_year` (first calendar year to simulate), `accounts` (each with `balance` = balance on Dec 31 of the year before `first_year`), `growth` (one yearly return per simulated year; the number of years simulated is its length), `other_income`, `brackets` (`[lower_bound, rate]` list as in a progressive tax), `divisor_table` (age as string -> divisor). ## Rules 1. All accounts are pooled: the balance is the sum of the account balances. 2. For calendar year Y (index j, Y = first_year + j) the age is Y - birth_year. If age >= start_age, the required amount is rmd = (balance on Dec 31 of the previous year) / divisor(age), else 0. For ages above the table's largest age use the largest age's divisor. 3. Withdrawals happen at the start of the year, then the balance grows: end balance = (previous balance - withdrawal) * (1 + growth[j]). 4. **no_delay**: withdrawal = min(balance, rmd) every year. 5. **delay_first**: the first year with rmd > 0 withdraws 0 and that rmd is carried to the next year, which withdraws min(balance, its own rmd + the carried amount). The next year's own rmd still uses its previous Dec 31 balance (which was not reduced by the carried amount). After that, same as no_delay. 6. Tax for a year = tax(other_income + withdrawal) - tax(other_income), using the progressive brackets: rate j applies to income above bound j up to bound j+1. 7. `lower_tax` = "no_delay" or "delay_first" (smaller total tax), or "same" if the totals differ by less than 0.005. 8. Round money to 2 decimals only when writing. ## Output `answer.json`: `{"no_delay": S, "delay_first": S, "lower_tax": ...}` where S = `{"rows": [{"year", "age", "rmd", "withdrawal", "tax", "end_balance"}, ... one per simulated year], "total_withdrawn", "total_tax", "final_balance"}`. ## Scoring Hidden checks (partial credit = fraction passed; all must pass), money within 0.011, years/ages/labels exact: `rmd_amounts_no_delay`, `totals_no_delay`, `delay_first_schedule`, `delay_first_totals_and_choice` on the given input; `fresh_run_1`, `fresh_run_2`: the whole answer on fresh inputs. Each run has a 60-second limit.

Pooled accounts, ages above the table, the carried first distribution that does not reduce the next year's base, and bunching tax under progressive brackets. 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).

These are synthetic test cases for comparing AI models, not financial advice.

Success criteria: 1. rmd_amounts_no_delay 2. totals_no_delay 3. delay_first_schedule 4. delay_first_totals_and_choice 5. fresh_run_1 6. fresh_run_2

Setup notes: Use Case Scout batch 9 case j06-required-distributions (offline fixture). Prepared with batch9/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: Read/Write/Edit/Glob/Grep/Bash, web disabled. Single run, no retries. Claude Code's own reported cost for claude-haiku-5.5: $0.007467. Score: 6/6. 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: $0.0075
Wall time: 31s
Human step-ins: 0
Turns: 5

Model usage
Model	Input tok	Output tok	Cost
AClaude Haiku 5.5anthropic/claude-haiku-5.5effort default (no --effort flag) · thinking on	117,782	6,570	$0.0075

Reproduce this run

Use the use case prompt on the use case page.
Same setup: Claude Haiku 5.5 (anthropic/claude-haiku-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: 1. rmd_amounts_no_delay 2. totals_no_delay 3. delay_first_schedule 4. delay_first_totals_and_choice 5. fresh_run_1 6. fresh_run_2
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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  "result": "I wrote `solve.py` in the work directory. Running `python3 -I solve.py input.json answer.json` on the given input produces `answer.json` in about a second, using only the standard library.\n\nOn the given input, no delay is the cheaper choice:\n\n| | Total withdrawn | Total tax | Final balance |\n|---|---|---|---|\n| no_delay | 999,733.93 | 203,842.82 | 458,319.85 |\n| delay_first | 1,002,470.25 | 207,506.27 | 458,764.18 |\n\n`lower_tax` is `\"no_delay\"`. The first RMD is in 2032 (age 75). Spot checks by hand: 2032 RMD = 1,008,982.34 / 24.6 = 41,015.54. In 2033 the delayed withdrawal is 45,489.35 (its own RMD, using the unreduced 1,078,097.63 balance) plus the carried 41,015.54, giving 86,504.89.\n\nI checked the output by running it and recomputing a few rows by hand. I have not run it against other inputs, though the code has no hard-coded values.\n\nChoices I made where the spec was silent:\n- **Ages below the divisor table's smallest age** use the smallest age's divisor, mirroring the rule for ages above the largest.\n- **Comparison and rounding:** the `lower_tax` comparison uses unrounded totals, and money is rounded to 2 decimals only when written.\n- **Carried amount in the last year:** if the delayed RMD falls in the final simulated year, it is never withdrawn and stays in the final balance. The spec does not cover this case.",
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