DataCenterBench Tier 1
Frontier models watch through cameras and drive two real robot arms on tabletop tasks rebuilt from data-center equipment manuals. LLM judges score each try from photos.
Published 2026-10-28 with ten tasks, three tries each. Runs on Robocurve's inspect-robots harness (723 GitHub stars). 9 models in the Fireworks index.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
GPT-6 Astra leads with 40%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 1 GPT-6 Astra max, ultrafast 40%
- 2 GPT-6.1 Sol max, ultrafast 38.3%
- 3
Gemini 4 Argon high 35%
- 4 Claude Opus 5.5 max 21.7%
- 5
Muse Wonder high 16.7%
- 6 Kimi K3 high 15%
- 7 GLM-5.3-Flash high 15%
- 8 Grok 4.7 xhigh 13.3%
- 9
DeepSeek V4.1 Flash high 11.7%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 40% | max, ultrafast | Sep 2026 | Official leaderboard |
| 2 | GPT-6.1 Sol | 38.3% | max, ultrafast | Sep 2026 | Official leaderboard |
| 3 | | 35% | high | Sep 2026 | Official leaderboard |
| 4 | Claude Opus 5.5 | 21.7% | max | Sep 2026 | Official leaderboard |
| 5 | | 16.7% | high | Oct 2026 | Official leaderboard |
| 6 | Kimi K3 | 15% | high | Jul 2026 | Official leaderboard |
| 7 | GLM-5.3-Flash | 15% | high | Aug 2026 | Official leaderboard |
| 8 | Grok 4.7 | 13.3% | xhigh | Sep 2026 | Official leaderboard |
| 9 | | 11.7% | high | Sep 2026 | Official leaderboard |
The best score, 40%, costs $19 a task
Runs on the cost frontier score higher than any run that's cheaper. Gemini 4 Argon at high comes within 5 points of the best for $1.83 a task, 10 times cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-6 Astra | max, ultrafast | 40% | $19 | 22,860 | |
| GPT-6.1 Sol | max, ultrafast | 38.3% | $10 | 21,904 | |
| | high | 35% | $1.83 | 102,960 | |
| Claude Opus 5.5 | max | 21.7% | $18 | 230,136 | |
| | high | 16.7% | $1.52 | 29,011 | |
| Kimi K3 | high | 15% | $0.60 | 34,970 | |
| GLM-5.3-Flash | high | 15% | $0.01 | 49,118 | |
| Grok 4.7 | xhigh | 13.3% | $0.60 | 16,737 | |
| | high | 11.7% | $0.14 | 112,484 |
Number one over time
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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