Management Consulting Tasks (Internal)Browse 284 families
Management Consulting Tasks (Internal)
Can the model produce useful work in a professional knowledge-work setting?
Version / measure
- Domain
- Knowledge Work
- Ranked models
- 7
- Reported values
- 7
- 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 | GPT-5.6 SolOpenAI | reportedcost n/a1 value · Jul 9 · source | 43.2% |
| 2 | GPT-5.6 TerraOpenAI | reportedcost n/a1 value · Jul 9 · source | 37.2% |
| 3 | Claude Fable 5Anthropic | reportedcost n/a1 value · Jul 9 · source | 35.5% |
| 4 | GPT-5.6 LunaOpenAI | reportedcost n/a1 value · Jul 9 · source | 35.4% |
| 5 | Claude Opus 4.8Anthropic | reportedcost n/a1 value · Jul 9 · source | 31.6% |
| 6 | GPT-5.5OpenAI | reportedcost n/a1 value · Jul 9 · source | 31.3% |
| 7 | Gemini 3.1 Pro PreviewGoogle | reportedcost n/a1 value · Jul 9 · source | 13.2% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal 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. The value is the percentage reported in this lab's table.
This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.
Method / source ↗