Personal Superintelligence Index (Meta)
In use
Meta's composite of seven personal and knowledge-work evals: Agents' Last Exam, AutomationBench-AA, FocusBench, JobBench, GDP.pdf, VBT and DRACO.
Internal index reported in the Muse Wonder model card. Its parts use mixed grading, including rubric judges. The card does not give the weighting.
Made by Meta (Meta Superintelligence Labs) Released Oct 2026 Composite indices Tasks kept private Last in a launch post Oct 2026
Last model added Oct 2026
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
2
Launch posts list it, from 1 lab
2
System cards report it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Personal Superintelligence Index (Meta) yet.
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 |
|---|---|---|---|
| 12 Oct 2026 |  Muse Wonder | 54.3 | Personal Superintelligence Index (internal composite) |
| 12 Oct 2026 | Muse Wonder Full | 59.1 | Personal Superintelligence Index (internal composite) |
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 12 Oct 2026 | Muse Wonder model card | 54.3 | Personal Superintelligence Index, internal composite of seven evaluations, Muse Wonder (max) (capabilities table image, page 3) | Capabilities |
| 12 Oct 2026 | Muse Wonder Full model card | 59.1 | Personal Superintelligence Index, internal composite of seven evaluations, Muse Wonder Full (max) (capabilities table image, page 3) | Capabilities |
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- Qwen in-house English automatic evaluation Only in system cards Models answer Qwen in-house English datasets on knowledge, comprehension, coding, math and related skills. Skills and weights change between reports.
Qwen2-72B 72.9% - Recognition of model-written user turns (Anthropic) Only in system cards Models write synthetic user turns for real Claude Code transcripts, then judge which version is real. Score is accuracy above chance. Claude Mythos Preview 0.35
- LiveBench Dropped Models answer monthly refreshed questions across math, coding, reasoning, language, instruction following, and data analysis. Scored automatically against objective ground truth. Claude Fable 5.1 85.7%
- PhiBench Dropped Models answer original prompts that Microsoft's Phi team wrote to test a wide range of skills and reasoning.
Phi-4-Reasoning-plus 74.2%