APEX-Agents · Investment Banking
World246_RL_06
Best published1/1Pass
APEX-Agents task World246_RL_06 in AI Agents for Maritime and Environmental Liability. Compare dual-harness agent runs across models, scores, and public traces.
AI Agents for Maritime and Environmental LiabilityInvestment Banking World 246Dual harnessGrader: rubric
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-5.4 mini | dual | 1/1 | Pass | Run detailsPublic trace |
| GPT-5.4 nano | dual | 1/1 | Pass | Run detailsPublic trace |
| GPT-5.5 | dual | 1/1 | Pass | Run detailsPublic trace |
| Gemini 3.1 Pro | dual | 0/1 | Fail | Run detailsPublic trace |
Grading rubric
Rubric criteria
Runs are graded against these criteria. Open a run for model-specific verdicts.
States terminal value is $67,213 million