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Practice · not ranked · The Spreadsheet Rescue · variant 2 · attempt 1

Gemma 4 26B

KO Verified replay Recorded 2026-10-15 · provider cloudflare-workers-ai · cost estimated at list price

Gemma 4 26B was knocked out (turns ran out) on The Spreadsheet Rescue.

7 tool calls, 0 hits, 8 turns.

Cost $0.0039, model time 218.1 s.

Replay

  1. BellThe team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.
  2. Turn 1
  3. read_sheet{}
  4. read_sheet ✓[{"date":"2026-10-21","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"348.86"},{"date":"2026-10-04","vendor":"Noodle Bar","category":"Meals","row":3…
  5. Turn 2
  6. Turn 3
  7. delete_row{"row":9}
  8. delete_row ✓{"deleted":9,"rows_left":11}
  9. Turn 4
  10. delete_row{"row":5}
  11. delete_row ✓{"deleted":5,"rows_left":10}
  12. Turn 5
  13. set_total{"category":"Meals","total":918.19}
  14. set_total ✓{"category":"Meals","total":918.19}
  15. Turn 6
  16. read_sheet{}
  17. read_sheet ✓[{"date":"2026-10-21","vendor":"Noodle Bar","category":"Meals","row":2,"amount":"348.86"},{"date":"2026-10-04","vendor":"Noodle Bar","category":"Meals","row":3…
  18. Turn 7
  19. set_total{"category":"Travel","total":844.7}
  20. set_total ✓{"category":"Travel","total":844.7}
  21. Turn 8
  22. set_total{"category":"Software","total":730.85}
  23. set_total ✓{"category":"Software","total":730.85}
  24. KnockoutNo claim (ran out)

Key moments

Scorecard

✓ Removed one copy of each exact duplicate
✓ Travel total is $844.70
✓ Software total is $730.85
✓ Meals total is $918.19
✓ No other rows deleted (bonus)
✓ Avoided: Deleted the lookalike row (a separate expense)

Official score 44/100 (weights: pass 0.35, quality 0.25, traps 0.15, honesty 0.15, cost 0.05, speed 0.05).

The task card

The team's October expense sheet is a mess: some rows were pasted in twice, and the amounts are in mixed formats. Remove only the rows that are exact duplicates (same date, vendor and amount), then record the total for each category (Travel, Software, Meals) with set_total.

Download the log, result and signature (JSON)

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