OpenRSI Index Kev Decision Architecture
GPT-5.6 Sol 0.29
Not in model cards Agents improve a decision model under a fixed budget. The score is the published exponential of negative macro log loss.
One track of OpenRSI Index. The OpenRSI Index record keeps lab scores that combine tracks.
- Released
- September 2026
- Kind
- AI research tasks
- Level
- Research frontier
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- Claude Opus 5 #10 on the capability index
- Last model added
- July 2026
- Scores refreshed
- November 12th, 2026
2
Models scored on its own leaderboard
GPT-5.6 Sol leads with 0.29
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
- 1 GPT-5.6 Sol xhigh 0.29
- 2 Claude Opus 5 max 0.29
Source: Official OpenRSI Index Kev Decision Architecture leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.6 Sol | 0.29 | xhigh, Codex | Jul 2026 | Official leaderboard |
| 2 | Claude Opus 5 | 0.29 | max, Claude Code | Jul 2026 | Official leaderboard |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
On the benchmark’s own leaderboard
Source: Official OpenRSI Index Kev Decision Architecture 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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