GDM Situational AwarenessBrowse 284 families
GDM Situational Awareness
Can the model plan, use tools, and finish a multi-step task?
Version / measure
- Domain
- Agents
- Ranked models
- 5
- Reported values
- 5
- 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-5.5OpenAI | xhighcost n/a1 value · Jul 9 · source | 60.0% |
| 2 | Muse Spark 1.1Meta | xhighcost n/a1 value · Jul 9 · source | 55.1% |
| 3 | Gemini 3.1 ProGoogle | highcost n/a1 value · Jul 9 · source | 54.5% |
| 4 | Claude Opus 4.8Anthropic | maxcost n/a1 value · Jul 9 · source | 53.1% |
| 5 | Muse Spark 1.0Meta | reportedcost n/a1 value · Jul 9 · source | 29.3% |
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 plan, use tools, and finish a multi-step task?
Agentic execution across tools, environments, or long-running workflows. 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 ↗