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Cook A Brisket

pendinghardhouse_double_floor_lowerKitchen4m 10sunowned

Agent runs

Each mode of this task runs once per run. Est. cost is tokens at list price (data/prices.yml), never a bill; see the BEHAVIOR-1K runs for every task of a run.

Codex + GPT-6 Luna, reasoning xhigh (ChatGPT login)default run

TrialStartedAgent timeModel requestsTokens in / outEst. costGrade
U✗ 4h 00m 0%09-27 07:424h 00m58981.9M / 304k$1.07grader_error 0, missing_trajectory 1
L✗ 4h 00m 0%09-27 10:284h 00m43549.2M / 183k$0.656deterministic 0, grader_error 0, live_success 0, n_actions 24624, replay_success 0, video_rendered 0

No instruction published upstream

The 2025 carryover tasks ship without instruction text. Watch the demo and write the goal in your own words below, clearly marked as a reconstruction rather than the official goal.

Measured on the stack we run — BEHAVIOR-1K v3.9.2 / OmniGibson 3.9.2 / Isaac Sim 5.1
Goal predicates cooked ontop
Goal clauses 3
Objects named in the goal brisket.n.01 chopping_board.n.01 countertop.n.01 frying_pan.n.01
Objects in the problem 8 in 8 categories
Rooms loaded corridor_0 garden_0 kitchen_0 living_room_0
Demonstrations 200 teleoperated episodes
Mean episode 4m 04s (7,335 control steps at 30 Hz)
Base travel, mean 14.2 m
Gripper travel, mean left 11.97 m · right 16.51 m
Evaluation instances 20 public test instances (ids 301–320)

Read from BDDL activity definitions + 2026-challenge-task-instances (licensed download), 2026-09-21.

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