cognition-golden
Cognition tests coding agents on tasks modeled on real Devin use cases, in authentic development environments with fully autonomous grading. A train split serves self-improvement and a test split measures capability.
Cognition called it its primary internal benchmark when it compared o1-preview and GPT-4o inside Devin in 2024-09. The task set is not public.
- Made by
- Cognition
- Released
- September 2024
- Kind
- Building whole projects
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- o1-mini #140 on the capability index
- Last model added
- September 2024
- Scores refreshed
- November 12th, 2026
Devin production (model unspecified) tops the leaderboard with 74.2%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is o1-preview, at 51.8%.
- 1 Devin production (model unspecified) 74.2%
- 2 o1-preview 51.8%
- 3 o1-mini 34.6%
- 4 GPT-4o (snapshot unspecified) 25.9%
Source: Official cognition-golden leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Devin production (model unspecified) | 74.2% | Official leaderboard | ||
| 2 | o1-preview | 51.8% | Devin-Base | Sep 2024 | Official leaderboard |
| 3 | o1-mini | 34.6% | Devin-Base | Sep 2024 | Official leaderboard |
| 4 | GPT-4o (snapshot unspecified) | 25.9% | Devin-Base | Official leaderboard |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official cognition-golden leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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