TutorMomentsBrowse 284 families
TutorMoments
Can the model produce useful work in a professional knowledge-work setting?
Version / measure
- Domain
- Knowledge Work
- Ranked models
- 7
- Reported values
- 14
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | Claude Opus 4.8Anthropic | reportedcost n/a2 values · Aug 7 · source | 0.831 |
| 2 | Claude Sonnet 4.6Anthropic | reportedcost n/a2 values · Aug 7 · source | 0.792 |
| 3 | Gemini 2.5 ProGoogle | reportedcost n/a2 values · Aug 7 · source | 0.712 |
| 4 | Gemini 3.5 FlashGoogle | reportedcost n/a2 values · Aug 7 · source | 0.646 |
| 5 | GPT-5.5OpenAI | reportedcost n/a2 values · Aug 7 · source | 0.531 |
| 6 | DeepSeek V4 ProDeepSeekOW | reportedcost n/a2 values · Aug 7 · source | 0.492 |
| 7 | GPT 5.4 miniOpenAI | reportedcost n/a2 values · Aug 7 · source | 0.404 |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarylimited methodology
Can the model produce useful work in a professional knowledge-work setting?
Professional analysis, document, finance, office, or domain-specific tasks. Higher is better. Share of annotated moments where the model made the appropriate tutoring move.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
Evaluation-aware prompt is the first value and plain prompt the second; 260 rigor moments in the annotations.
Method / source ↗