GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Final standings with tie-breaks for a club Swiss tournament (Buchholz Cut-1 with virtual opponents, Sonneborn-Berger, direct encounter)

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 tryCompare

Estimated cost: $0.05
Wall time: 57s
Human step-ins: 0
Outcome: Pass

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Exact prompt

# Final standings with tie-breaks for a club Swiss tournament `players.csv` (name, rating) and `results.csv` (round, white, black, result; rows in any order) hold a finished event. Write `standings.py` (Python 3 stdlib only) that, run as `python standings.py` in a directory with those two files, writes `standings.csv`. We also run it on other events, so do not hard-code anything. ## Results 1. `result` is `1-0`, `0-1`, `1/2-1/2` (games played over the board), `+-` / `-+` (forfeit: white / black gets 1 point, the other 0; **not** played over the board), or, with `black` empty, `BYE` (white gets 1 point) or `HALF` (white gets 1/2). A player with no row in a round got 0 points that round. R = the highest round number in the file. 2. **Points** = sum of points from all rows. ## Tie-breaks (higher is better at every step) 3. **Buchholz Cut-1 (`bh_cut1`)**: for each round 1..R take a contribution: the opponent's final points if the player played that round **over the board**, otherwise (bye, half bye, forfeit win or loss, absent) the player's **own** final points. Sum all R contributions and subtract the single smallest one. 4. **Sonneborn-Berger (`sb`)**: sum over games played over the board of opponent's final points x points the player scored in that game (1, 1/2 or 0). Unplayed rounds add nothing. 5. Rank by points, then bh_cut1, then sb. 6. **Direct encounter**: players still equal on all of points, bh_cut1 and sb form a group. If the group has 2+ players **and every pair in it played each other over the board** (in some round), order them by points scored in over-the-board games against other group members. Otherwise this step does nothing for the group. 7. Remaining ties: more over-the-board wins (forfeit wins do not count), then higher rating, then name (ascending, plain string order). 8. Use exact arithmetic (all values are multiples of 1/4). ## Output 9. `standings.csv`: header `rank,name,points,bh_cut1,sb,wins`; ranks 1..n without gaps (every player gets a distinct rank); `points` and `bh_cut1` with 1 decimal, `sb` with 2 decimals, `wins` = over-the-board wins as an integer. Every player in `players.csv` is listed. ## Scoring Hidden checks (partial credit = fraction passed; all must pass), each comparing `standings.csv` exactly: `fixture_exact` (this directory's files), `forfeits_and_byes` (1-2, 7), `buchholz_virtual` (3), `sonneborn_berger` (4), `direct_encounter` (6), `final_tiebreaks` (7), `fresh_event_exact` (a freshly generated event). Each run has a 30-second limit.

Forfeits count for points but not for tie-breaks, unplayed rounds use the player's own score, Cut-1 drops one contribution, direct encounter applies only when every pair in a tie group met over the board; hand-made events isolate each rule. 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).

Success criteria: 1. fixture_exact 2. forfeits_and_byes 3. buchholz_virtual 4. sonneborn_berger 5. direct_encounter 6. final_tiebreaks 7. fresh_event_exact

Setup notes: Use Case Scout batch8 case i08-swiss-tiebreak-standings (offline fixture). Prepared with batch8/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: 7/7. 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 6 (2 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost: $0.05
Wall time: 57s
Human step-ins: 0
Turns: 1

Model usage
Model	Input tok	Output tok	Cost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on	105,590	2,036	$0.05

Reproduce this run

Use the use case prompt on the use case page.
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.
It counts as a success only if it meets every success criterion: 1. fixture_exact 2. forfeits_and_byes 3. buchholz_virtual 4. sonneborn_berger 5. direct_encounter 6. final_tiebreaks 7. fresh_event_exact
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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{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll check the input files, implement the tie-breaks with exact arithmetic, and verify the standings output."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'players.csv' -g 'results.csv' -g 'standings.py'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'AGENTS.md' -g 'players.csv' -g 'results.csv' -g 'standings.py'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/199_i08/work\nresults.csv\nplayers.csv\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat players.csv results.csv'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat players.csv results.csv'", "aggregated_output": "name,rating\nMax Feld,1800\nDev Rao,1800\nFay Moss,1946\nCleo Park,1812\nKai Berg,1800\nAna Ruiz,1845\nIvo Petrov,1656\nLea Roux,1953\nNia Cole,1724\nHana Ito,1515\nOto Varga,1800\nBen Okafor,2040\nEli Stone,1800\nJo Lind,1800\nPia Sund,1983\nround,white,black,result\n6,Lea Roux,Kai Berg,1/2-1/2\n2,Nia Cole,Jo Lind,0-1\n3,Ana Ruiz,Dev Rao,1/2-1/2\n5,Nia Cole,Kai Berg,0-1\n7,Max Feld,Pia Sund,+-\n4,Fay Moss,Eli Stone,0-1\n7,Nia Cole,Cleo Park,0-1\n5,Ana Ruiz,Max Feld,1/2-1/2\n5,Ben Okafor,Oto Varga,1-0\n3,Oto Varga,Kai Berg,0-1\n1,Jo Lind,Kai Berg,1-0\n7,Fay Moss,,HALF\n5,Lea Roux,Eli Stone,+-\n3,Lea Roux,Cleo Park,1-0\n4,Pia Sund,,HALF\n3,Jo Lind,Max Feld,1/2-1/2\n1,Ben Okafor,Pia Sund,1-0\n4,Lea Roux,Jo Lind,1-0\n1,Lea Roux,Fay Moss,1-0\n5,Jo Lind,Cleo Park,1-0\n5,Fay Moss,Ivo Petrov,0-1\n4,Oto Varga,Hana Ito,1-0\n4,Ana Ruiz,Ben Okafor,1-0\n1,Hana Ito,,BYE\n6,Fay Moss,Oto Varga,1/2-1/2\n5,Dev Rao,,HALF\n2,Max Feld,Hana Ito,1-0\n1,Oto Varga,Max Feld,1/2-1/2\n7,Eli Stone,Jo Lind,+-\n2,Ben Okafor,Lea Roux,0-1\n7,Lea Roux,Ivo Petrov,0-1\n3,Ivo Petrov,,BYE\n4,Max Feld,Cleo Park,1/2-1/2\n7,Hana Ito,,BYE\n2,Ana Ruiz,Fay Moss,1/2-1/2\n1,Dev Rao,Eli Stone,0-1\n6,Ivo Petrov,Pia Sund,1-0\n6,Ben Okafor,Cleo Park,0-1\n1,Nia Cole,Ivo Petrov,+-\n1,Cleo Park,Ana Ruiz,+-\n5,Hana Ito,,BYE\n3,Hana Ito,Fay Moss,0-1\n6,Dev Rao,Hana Ito,1-0\n7,Ben Okafor,Dev Rao,1-0\n6,Ana Ruiz,Nia Cole,0-1\n2,Cleo Park,Eli Stone,1-0\n7,Oto Varga,Ana Ruiz,1/2-1/2\n2,Ivo Petrov,Dev Rao,1/2-1/2\n6,Max Feld,Eli Stone,1/2-1/2\n4,Nia Cole,Dev Rao,1-0\n2,Kai Berg,,HALF\n4,Kai Berg,Ivo Petrov,1/2-1/2\n3,Pia Sund,Nia Cole,1-0\n2,Oto Varga,Pia Sund,0-1\n3,Eli Stone,Ben Okafor,1-0\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/199_i08/work/standings.py", "kind": "add"}], "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/199_i08/work/standings.py", "kind": "add"}], "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc 'python standings.py && cat standings.csv'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc 'python standings.py && cat standings.csv'", "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 standings.py && cat standings.csv'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc 'python3 standings.py && cat standings.csv'", "aggregated_output": "rank,name,points,bh_cut1,sb,wins\r\n1,Lea Roux,5.5,25.0,15.25,4\r\n2,Ivo Petrov,5.0,24.0,13.50,3\r\n3,Cleo Park,4.5,25.5,12.75,3\r\n4,Eli Stone,4.5,23.5,10.25,3\r\n5,Max Feld,4.5,23.0,12.00,1\r\n6,Jo Lind,3.5,25.0,13.25,3\r\n7,Kai Berg,3.5,24.0,10.75,2\r\n8,Ben Okafor,3.0,22.5,7.50,3\r\n9,Nia Cole,3.0,20.0,5.50,2\r\n10,Ana Ruiz,3.0,18.5,9.00,1\r\n11,Hana Ito,3.0,18.5,0.00,0\r\n12,Fay Moss,2.5,23.5,5.75,1\r\n13,Dev Rao,2.5,21.5,7.00,1\r\n14,Oto Varga,2.5,19.5,8.00,1\r\n15,Pia Sund,2.5,18.5,5.50,2\r\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport csv, pathlib, subprocess, tempfile\nscript = pathlib.Path('standings.py').resolve()\nwith tempfile.TemporaryDirectory() as d:\n    p = pathlib.Path(d)\n    (p/'players.csv').write_text('name,rating\\\\nA,1000\\\\nB,2000\\\\nC,3000\\\\nD,4000\\\\n')\n    (p/'results.csv').write_text('round,white,black,result\\\\n2,A,,HALF\\\\n1,A,B,1-0\\\\n2,B,C,+-\\\\n1,C,,BYE\\\\n')\n    subprocess.run(['python3',str(script)],cwd=d,check=True)\n    rows = list(csv.DictReader((p/'standings.csv').open()))\n    by_name = {r['name']:r for r in rows}\n    assert [r['name'] for r in rows] == ['A','C','B','D']\n    assert (by_name['A']['points'],by_name['A']['bh_cut1'],by_name['A']['sb'],by_name['A']['wins']) == ('1.5','1.5','1.00','1')\n    assert by_name['B']['bh_cut1'] == '1.5'\n    assert by_name['D']['points'] == '0.0'\nprint('Synthetic checks passed')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport csv, pathlib, subprocess, tempfile\nscript = pathlib.Path('standings.py').resolve()\nwith tempfile.TemporaryDirectory() as d:\n    p = pathlib.Path(d)\n    (p/'players.csv').write_text('name,rating\\\\nA,1000\\\\nB,2000\\\\nC,3000\\\\nD,4000\\\\n')\n    (p/'results.csv').write_text('round,white,black,result\\\\n2,A,,HALF\\\\n1,A,B,1-0\\\\n2,B,C,+-\\\\n1,C,,BYE\\\\n')\n    subprocess.run(['python3',str(script)],cwd=d,check=True)\n    rows = list(csv.DictReader((p/'standings.csv').open()))\n    by_name = {r['name']:r for r in rows}\n    assert [r['name'] for r in rows] == ['A','C','B','D']\n    assert (by_name['A']['points'],by_name['A']['bh_cut1'],by_name['A']['sb'],by_name['A']['wins']) == ('1.5','1.5','1.00','1')\n    assert by_name['B']['bh_cut1'] == '1.5'\n    assert by_name['D']['points'] == '0.0'\nprint('Synthetic checks passed')\nPY\"", "aggregated_output": "Traceback (most recent call last):\n  File \"<stdin>\", line 10, in <module>\nAssertionError\n", "exit_code": 1, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport csv, pathlib, subprocess, tempfile\nscript = pathlib.Path('standings.py').resolve()\nwith tempfile.TemporaryDirectory() as d:\n    p = pathlib.Path(d)\n    (p/'players.csv').write_text('name,rating\\\\nA,1000\\\\nB,2000\\\\nC,3000\\\\nD,4000\\\\n')\n    (p/'results.csv').write_text('round,white,black,result\\\\n2,A,,HALF\\\\n1,A,B,1-0\\\\n2,B,C,+-\\\\n1,C,,BYE\\\\n')\n    subprocess.run(['python3',str(script)],cwd=d,check=True)\n    rows = list(csv.DictReader((p/'standings.csv').open()))\n    by_name = {r['name']:r for r in rows}\n    assert [r['name'] for r in rows] == ['A','B','C','D']\n    assert (by_name['A']['points'],by_name['A']['bh_cut1'],by_name['A']['sb'],by_name['A']['wins']) == ('1.5','1.5','1.00','1')\n    assert by_name['B']['bh_cut1'] == '1.5'\n    assert by_name['D']['points'] == '0.0'\nprint('Synthetic checks passed')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport csv, pathlib, subprocess, tempfile\nscript = pathlib.Path('standings.py').resolve()\nwith tempfile.TemporaryDirectory() as d:\n    p = pathlib.Path(d)\n    (p/'players.csv').write_text('name,rating\\\\nA,1000\\\\nB,2000\\\\nC,3000\\\\nD,4000\\\\n')\n    (p/'results.csv').write_text('round,white,black,result\\\\n2,A,,HALF\\\\n1,A,B,1-0\\\\n2,B,C,+-\\\\n1,C,,BYE\\\\n')\n    subprocess.run(['python3',str(script)],cwd=d,check=True)\n    rows = list(csv.DictReader((p/'standings.csv').open()))\n    by_name = {r['name']:r for r in rows}\n    assert [r['name'] for r in rows] == ['A','B','C','D']\n    assert (by_name['A']['points'],by_name['A']['bh_cut1'],by_name['A']['sb'],by_name['A']['wins']) == ('1.5','1.5','1.00','1')\n    assert by_name['B']['bh_cut1'] == '1.5'\n    assert by_name['D']['points'] == '0.0'\nprint('Synthetic checks passed')\nPY\"", "aggregated_output": "Synthetic checks passed\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_8", "type": "agent_message", "text": "Created [standings.py](standings.py) and generated [standings.csv](standings.csv).\n\nUses integer arithmetic for scoring and all specified tie-breaks. Verified on the supplied event and a synthetic case covering forfeits, byes, and absent players.\n\nThis environment provides `python3`, so I ran `python3 standings.py`."}}
{"type": "turn.completed", "usage": {"input_tokens": 105590, "cached_input_tokens": 96128, "cache_write_input_tokens": 0, "output_tokens": 2036, "reasoning_output_tokens": 87}}