Manipulation benchmarkBrowse 296

Manipulation benchmark

Can the model plan, use tools, and finish a multi-step task?

Version not specifiedExact reported variant
Agents2 ranked models2 reported values1 reportsHigher is better

Top rankings

One row per model, using its best reported score across effort settings.

2
RankModelBest scoreBest reported setting
1ABot-M0External baseline98.6%Reported configurationQwen report1 value · 1 reportMay 29, 2026 · source
2Qwen-VLA-InstructQwen97.9%Reported configurationQwen report1 value · 1 reportMay 29, 2026 · source

Effort curve

Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.

0
No cost-linked effort sweep for this version.
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.

Qwen-VLA-Instruct unified manipulation table; specialist baseline cells are retained exactly where printed.

Method / source