Can it actually do the task on a real arm?
Models that output motor commands directly (VLA): given camera images and an instruction, they move the arm.
RoboArena
Rating from pairwise preferences (hover for ± std and number of evaluations); policies with fewer than 20 evaluations hidden
#1 · RoboArenaSpirit v1.61,788
Source: robo-arena.github.io · snapshot 2026-10-28 · 7 universities, DROID platform · Results as published by each leaderboard; we have not rerun them
RoboChallenge Table30
Table30 V2 success rate, % (official ranking order); top score 56.80
#1 · RoboChallenge Table30LoopWAM43.33%
Source: robochallenge.cn · snapshot 2026-10-28 · Run by Dexmal + Hugging Face · Results as published by each leaderboard; we have not rerun them
SimFoundry
Real-world avg. success, %
#1 · SimFoundryπ0.573.1%
Source: arXiv 2606.28276 · snapshot 2026-09-18 · Paper authors · Results as published by each leaderboard; we have not rerun them
FlagEval-Robo
Sim board: mean success of LIBERO, ManiSkill, VLA-Arena, RoboCasa, % (DreamZero unranked, two benchmarks only)
#1 · FlagEval-Roboπ0.566.88%
Source: flagevalrobo.baai.ac.cn · snapshot 2026-08 · Run by BAAI · Results as published by each leaderboard; we have not rerun them
ArmnetBench v0.1
Strict success, %
#1 · ArmnetBench v0.1π0.547.6%
Source: arXiv 2607.24481 · snapshot 2026-08-29 · Paper authors · Results as published by each leaderboard; we have not rerun them
RoboLab-120
Success rate, %
#1 · RoboLab-120Cosmos3 Nano Policy36.8%
Source: RoboLab data · snapshot 2026-08-12 · Run by NVIDIA SRL · Results as published by each leaderboard; we have not rerun them
BEHAVIOR Challenge 2025
Held-out Q-score
#1 · BEHAVIOR Challenge 2025Robot Learning Collective0.26
Source: BEHAVIOR leaderboard · snapshot 2025 final · Run by Stanford SVL · Results as published by each leaderboard; we have not rerun them
LIBERO
Four-suite avg. success, % (self-reported)
#1 · LIBEROSimpleVLA-RL (OFT)99.1%
Source: AllenAI vla-eval · snapshot 2026-09-23 · Self-reported in papers · Results as published by each leaderboard; we have not rerun them