AutomationBenchBrowse 284 families
AutomationBench
Can the model plan, use tools, and finish a multi-step task?
- Domain
- Agents
- Ranked models
- 4
- Reported values
- 4
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Latest stable
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | Claude Fable 5.1Anthropic | reportedcost n/a1 value · Sep 1 · source | 31.4% |
| 2 | Claude Opus 5Anthropic | reportedcost n/a1 value · Sep 1 · source | 26.9% |
| 3 | GPT-5.6 SolOpenAI | reportedcost n/a1 value · Sep 1 · source | 19.6% |
| 4 | Claude Fable 5Anthropic | reportedcost n/a1 value · Sep 1 · source | 17.1% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
Definition and comparison boundarypublic 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.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
The launch table does not print a task-set revision or cost-per-task series. Anthropic states that production safeguards were enabled for these comparisons; safeguard interventions can lower scores and intervention cases can be scored as zero. The launch table does not print a task-set revision or cost-per-task series.
Method / source ↗