OSWorld
Can the model plan, use tools, and finish a multi-step task?
Agents3 ranked models3 reported values1 reportsHigher is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | Claude Opus 5.5Anthropic | 81.8% | max effortAnthropic report1 value · 1 reportSep 22, 2026 · source |
| 2 | Claude Fable 5.1Anthropic | 80.7% | Reported configurationAnthropic report1 value · 1 reportSep 22, 2026 · source |
| 3 | Claude Opus 5Anthropic | 74.0% | Reported configurationAnthropic report1 value · 1 reportSep 22, 2026 · source |
Effort curve
Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarylimited 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.
Anthropic prints the exact partial-score values. Its table does not specify a task-release revision, trial count, or a more detailed agent scaffold for this comparison.
Method / source