Benchmark Almanac

DiligenceBench

In use

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.

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
1
Model scored in lab cards
1
Launch post lists it, from 1 lab

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. 1 Inkling 2 Small 58.1%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 Inkling 2 Small 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.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Inkling 2 Small 0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Inkling 2 Small

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.

Thinking Machines
DateLaunch postScoreAs the post writes it
Nov 5, 2026 Inkling 2 Small 58.1 Diligence Bench, best harness, as reported by Thoughtful

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