RoboColiseum
AgiBot Genie robot in Genie Sim 3.0 (Isaac Sim): instruction, robustness, manipulation and spatial boards after post-training on provided sim data.
Instruction board crowded (many pi0.5 fine-tunes 0.72-0.84). Manipulation and spatial not saturated. Many noisy third-party rows. Organizer baselines mixed with submissions.
- Level
- Everyday Most adults, without training
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
GO-3 Nano Preview tops the leaderboard with 78.8%
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is Claude Opus 5.5, at 76.3%.
- 78.8 GO-3 Nano Preview
- 77.5 Paimon
- 76.9 HiDream-O1-Embodied
- 76.3 Claude Opus 5.5
- 76.0 GPT-6 Astra
- 70.9 GPT-6.1 Sol
- 70.8 DM0.5
- 66.9
Gemini 4 Argon
- 65.0 GigaBrain-0.7
- 59.8 WNDFC
- 59.4 Xiaomi-Robotics-1
- 58.4 OpenWAM-Alpha
- 57.9 pi0.5_refine
- 57.4 π0.5
- 56.7 kp-robot
- 56.3 ACoT-VLA
- 55.8 lingbot-vla-v2
- 55.1
DeepSeek V4.1 Flash
- 47.2 Dream-1 SFT 500 steps
- 46.8
GR00T N1.7
- 46.7 InternVLA-A1.5
- 43.0 Xiaomi-Robotics-0
- 42.3
Muse Wonder
- 33.5 Dream-1 zero-shot
- 28.9 π0
- 1 GO-3 Nano Preview 78.8%
- 2 Paimon 77.5%
- 3 HiDream-O1-Embodied 76.9%
- 4 Claude Opus 5.5 76.3%
- 5 GPT-6 Astra 76%
- 6 GPT-6.1 Sol 70.9%
- 7 DM0.5 70.8%
- 8
Gemini 4 Argon 66.9%
- 9 GigaBrain-0.7 65%
- 10 WNDFC 59.8%
- 11 Xiaomi-Robotics-1 59.4%
- 12 OpenWAM-Alpha 58.4%
- 13 pi0.5_refine 57.9%
- 14 π0.5 57.4%
- 15 kp-robot 56.7%
- 16 ACoT-VLA 56.3%
- 17 lingbot-vla-v2 55.8%
- 18
DeepSeek V4.1 Flash 55.1%
- 19 Dream-1 SFT 500 steps 47.2%
- 20
GR00T N1.7 46.8%
- 21 InternVLA-A1.5 46.7%
- 22 Xiaomi-Robotics-0 43%
- 23
Muse Wonder 42.3%
- 24 Dream-1 zero-shot 33.5%
- 25 π0 28.9%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GO-3 Nano Preview | 78.8% | Oct 2026 | Official leaderboard | |
| 2 | Paimon | 77.5% | Oct 2026 | Official leaderboard | |
| 3 | HiDream-O1-Embodied | 76.9% | Sep 2026 | Official leaderboard | |
| 4 | Claude Opus 5.5 | 76.3% | Sep 2026 | Official leaderboard | |
| 5 | GPT-6 Astra | 76% | Sep 2026 | Official leaderboard | |
| 6 | GPT-6.1 Sol | 70.9% | Sep 2026 | Official leaderboard | |
| 7 | DM0.5 | 70.8% | Sep 2026 | Official leaderboard | |
| 8 | | 66.9% | Sep 2026 | Official leaderboard | |
| 9 | GigaBrain-0.7 | 65% | Aug 2026 | Official leaderboard | |
| 10 | WNDFC | 59.8% | Aug 2026 | Official leaderboard | |
| 11 | Xiaomi-Robotics-1 | 59.4% | Oct 2026 | Official leaderboard | |
| 12 | OpenWAM-Alpha | 58.4% | Oct 2026 | Official leaderboard | |
| 13 | pi0.5_refine | 57.9% | Jul 2026 | Official leaderboard | |
| 14 | π0.5 | 57.4% | Apr 2025 | Official leaderboard | |
| 15 | kp-robot | 56.7% | Jul 2026 | Official leaderboard | |
| 16 | ACoT-VLA | 56.3% | Jun 2026 | Official leaderboard | |
| 17 | lingbot-vla-v2 | 55.8% | Oct 2026 | Official leaderboard | |
| 18 | | 55.1% | Sep 2026 | Official leaderboard | |
| 19 | Dream-1 SFT 500 steps | 47.2% | Oct 2026 | Official leaderboard | |
| 20 | | 46.8% | Apr 2026 | Official leaderboard | |
| 21 | InternVLA-A1.5 | 46.7% | Sep 2026 | Official leaderboard | |
| 22 | Xiaomi-Robotics-0 | 43% | Aug 2026 | Official leaderboard | |
| 23 | | 42.3% | Oct 2026 | Official leaderboard | |
| 24 | Dream-1 zero-shot | 33.5% | Oct 2026 | Official leaderboard | |
| 25 | π0 | 28.9% | Oct 2024 | Official leaderboard |
3 models have held number one since its release in Jan 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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