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GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Required minimum distributions from a supplied divisor table, with and without delaying the first one

OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.05
Wall time
42s
Human step-ins
0
Outcome
Pass

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Summary

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. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).

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 batch9 case j06-required-distributions (offline fixture). Prepared with batch9/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 6/6. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 4 (1 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.05
Wall time
42s
Human step-ins
0
Turns
1
Model usage
ModelInput tokOutput tokCost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on85,3411,562$0.05

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via Codex CLI 0.163.0 (codex exec --json), cloud.
  3. 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
  4. 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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Evidence log
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{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat input.json'", "aggregated_output": "{\n \"note\": \"Fictional divisor table and tax brackets for this exercise.\",\n \"birth_year\": 1957,\n \"start_age\": 75,\n \"first_year\": 2029,\n \"accounts\": [\n  {\n   \"name\": \"IRA-A\",\n   \"balance\": 710000\n  },\n  {\n   \"name\": \"IRA-B\",\n   \"balance\": 160000\n  }\n ],\n \"growth\": [\n  0.0733,\n  0.0357,\n  0.0433,\n  0.0685,\n  0.1631,\n  -0.2086,\n  0.1072,\n  0.0635,\n  0.0877,\n  0.031,\n  0.0769,\n  -0.0328,\n  0.2329,\n  0.0818,\n  -0.0065,\n  -0.0134,\n  -0.1601,\n  -0.0143,\n  0.1179,\n  -0.0468,\n  -0.0588,\n  0.0893\n ],\n \"other_income\": 60000,\n \"brackets\": [\n  [\n   0,\n   0.0\n  ],\n  [\n   14280,\n   0.1\n  ],\n  [\n   40800,\n   0.18\n  ],\n  [\n   96900,\n   0.26\n  ],\n  [\n   193800,\n   0.34\n  ]\n ],\n \"divisor_table\": {\n  \"72\": 27.4,\n  \"73\": 26.5,\n  \"74\": 25.6,\n  \"75\": 24.6,\n  \"76\": 23.7,\n  \"77\": 22.9,\n  \"78\": 22.0,\n  \"79\": 21.1,\n  \"80\": 20.2,\n  \"81\": 19.4,\n  \"82\": 18.5,\n  \"83\": 17.7,\n  \"84\": 16.8,\n  \"85\": 16.0,\n  \"86\": 15.2,\n  \"87\": 14.3,\n  \"88\": 13.5,\n  \"89\": 12.7,\n  \"90\": 12.0,\n  \"91\": 11.2,\n  \"92\": 10.4,\n  \"93\": 9.6,\n  \"94\": 8.9,\n  \"95\": 8.1,\n  \"96\": 7.4,\n  \"97\": 6.6,\n  \"98\": 5.9,\n  \"99\": 5.2,\n  \"100\": 4.5,\n  \"101\": 3.8,\n  \"102\": 3.1,\n  \"103\": 2.4,\n  \"104\": 2.0,\n  \"105\": 2.0\n }\n}", "exit_code": 0, "status": "completed"}}
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{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc 'python solve.py input.json answer.json'", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json && python3 - <<'PY'\nimport json\nfrom decimal import Decimal\nfrom solve import solve\nx = {'birth_year': 2000, 'start_age': 75, 'first_year': 2074, 'accounts': [{'balance': 1000}], 'growth': [0,0,0,0], 'other_income': 0, 'brackets': [[0,Decimal('.1')],[150,Decimal('.2')]], 'divisor_table': {'75':10,'76':5}}\na = solve(x)\nassert [r['withdrawal'] for r in a['no_delay']['rows']] == [0,100,180,144]\nassert [r['withdrawal'] for r in a['delay_first']['rows']] == [0,0,300,140]\nassert a['delay_first']['total_tax'] == 59\nx['growth'] = [0,0]\nassert solve(x)['delay_first']['final_balance'] == 1000\nx['growth'] = [0,0,0]\nx['divisor_table'] = {'75':Decimal('.5')}\nassert solve(x)['delay_first']['rows'][2]['withdrawal'] == 1000\nwith open('answer.json') as f:\n    result=json.load(f)\nfor name in ('no_delay','delay_first'):\n    s=result[name]\n    assert len(s['rows']) == 22\n    print(name, {k:v for k,v in s.items() if k \"'!= '\"'rows'})\nprint('lower_tax:',result['lower_tax'])\nprint('Edge-case checks passed.')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 solve.py input.json answer.json && python3 - <<'PY'\nimport json\nfrom decimal import Decimal\nfrom solve import solve\nx = {'birth_year': 2000, 'start_age': 75, 'first_year': 2074, 'accounts': [{'balance': 1000}], 'growth': [0,0,0,0], 'other_income': 0, 'brackets': [[0,Decimal('.1')],[150,Decimal('.2')]], 'divisor_table': {'75':10,'76':5}}\na = solve(x)\nassert [r['withdrawal'] for r in a['no_delay']['rows']] == [0,100,180,144]\nassert [r['withdrawal'] for r in a['delay_first']['rows']] == [0,0,300,140]\nassert a['delay_first']['total_tax'] == 59\nx['growth'] = [0,0]\nassert solve(x)['delay_first']['final_balance'] == 1000\nx['growth'] = [0,0,0]\nx['divisor_table'] = {'75':Decimal('.5')}\nassert solve(x)['delay_first']['rows'][2]['withdrawal'] == 1000\nwith open('answer.json') as f:\n    result=json.load(f)\nfor name in ('no_delay','delay_first'):\n    s=result[name]\n    assert len(s['rows']) == 22\n    print(name, {k:v for k,v in s.items() if k \"'!= '\"'rows'})\nprint('lower_tax:',result['lower_tax'])\nprint('Edge-case checks passed.')\nPY\"", "aggregated_output": "no_delay {'total_withdrawn': 999733.93, 'total_tax': 203842.82, 'final_balance': 458319.85}\ndelay_first {'total_withdrawn': 1002470.25, 'total_tax': 207506.27, 'final_balance': 458764.18}\nlower_tax: no_delay\nEdge-case checks passed.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "Created [solve.py](solve.py) and generated [answer.json](answer.json). Verified delay timing, divisor fallback, withdrawal caps, and tax calculations.\n\n- **no_delay tax:** $203,842.82\n- **delay_first tax:** $207,506.27\n- **lower_tax:** `no_delay`\n\nRan with `python3`; this environment has no `python` command."}}
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