DiligenceBench
150 public-equity research tasks on large US companies across sectors. Agents answer open-ended research questions in their own harness, and a model judge scores each answer against a dense task rubric for factual accuracy, analysis and risk awareness.
No fixed harness. Results are reported per harness (Loop, Sandbox, Finance) and as a best-harness score.
- Made by
- Thoughtful Lab and Paper Instruments
- Released
- July 2026
- Kind
- Finance
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Last in a launch post
- November 2026
- Last model added
- November 2026
Inkling 2 Small leads with 58.1%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1
Inkling 2 Small 58.1%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 58.1% | Nov 2026 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
One lab put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Nov 5, 2026 | 58.1 | Diligence Bench, best harness, as reported by Thoughtful |
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