APEX-Agents · Investment Banking

World246_RL_06

1/1Pass

APEX-Agents task World246_RL_06 in AI Agents for Maritime and Environmental Liability. Compare dual-harness agent runs across models — rubric criteria, scores, and public traces.

AI Agents for Maritime and Environmental LiabilityInvestment Banking World 246Dual harnessGrader: rubric

Task IDtask_1fb84d7682dc43138ad220b203ed5b22

WorldInvestment Banking World 246

Expected outputmessage_in_console

Published runs4 models · dual config

Task prompt

What the agent was asked to do

Use the DCF model, and make the following changes: - update net sales growth rate in 2029E to be the 2023A actual figure - update long-term growth rate to the 30-year treasury rate as of 1/2/26 minus 100 basis points Reply here with the terminal value. Round it to the nearest whole number in millions.

Published trajectories

Agent runs on this task

Curated dual-harness runs (parsed + original sandbox). Best scored run per model.

Model	Harness	Score	Result	Links
GPT-5.5showcase	dual	1/1	Pass	Share page Public trace
Gemini 3.1 Pro	dual	0/1	Fail	Share page Public trace
GPT-5.4 mini	dual	1/1	Pass	Share page Public trace
GPT-5.4 nano	dual	1/1	Pass	Share page Public trace

Grading rubric

Criteria and grader verdict (showcase run)

States terminal value is $67,213 million
Pass
Evidence: <TEXT_RESPONSE> says "$67,213 million". Assessment: Criterion "States terminal value is $67,213 million" is met exactly by the response.