SciUniverse - Normalize and pool samples (Hamilton): leaderboard
Task family in C5R's SciUniverse Level 1 (2026-09-24): normalize 384 samples, combine them into 48 pools and dispense two aliquots per pool on a simulated Hamilton STARlet. Passes when all six workflow milestones are reached; instrument speed does not count. Mean of the VENUS, PyLabRobot and firmware-command interfaces, 3 attempts each. Pass@1 (%), higher is better.
Metric: Pass@1 (%). Source: c5r.net. Saturation forecast: Around February 2027. 6 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-6 Astra (xHigh) | 100 | #6 (GPT-6 Astra) |
| 2 | Claude Fable 5.1 (xHigh) | 66.7 | #14 (Claude Fable 5.1) |
| 3 | GPT-5.6 Sol (xHigh) | 55.6 | #29 (GPT-5.6 Sol) |
| 4 | Grok 4.6 (xHigh) | 44.4 | #44 (Grok 4.6) |
| 5 | Gemini 3.8 Flash (High) | 33.3 | #36 (Gemini 3.8 Flash) |
| 6 | Claude Opus 5 (xHigh) | 33.3 | #20 (Claude Opus 5) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=sciuniverse-normalize-and-pool-samples-hamilton · How It Works · Data refreshed daily, snapshot 2026-11-12.