Harbor Adapters - SLDBench (Terminus-2): leaderboard
SLDBench, discovering symbolic scaling laws from LLM training experiments, all 8 tasks: the fitted law's R² on held-out extrapolation data, clipped to -1 to 1 and shown as (R² + 1)/2 on a 0-100 scale, so 50 means an R² of zero, higher is better. Each model runs in Terminus-2, the Harbor framework's bash-only terminal agent with no native web or image tools, at its provider's default settings, so results can differ from the same model in its vendor's own agent; the score is the mean of three trials (Harbor Adapters large-scale evaluation; Shi, Lin et al., 2026).
Metric: Rescaled R² ((R² + 1)/2 on 0-100; 8 tasks, mean of 3 trials). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash (Preview) | 78.9 | #141 |
| 2 | Gemini 3.1 Pro (Preview) | 78.4 | #91 |
| 3 | Claude Opus 4.6 | 76 | #100 |
| 4 | Claude Sonnet 4.6 | 74.7 | #158 |
| 5 | GPT-5.4 (Medium) | 67.3 | #121 (GPT-5.4) |
| 6 | Claude Haiku 4.5 | 61.2 | #568 |
| 7 | GPT-5 Mini | 54.2 | #349 |
| 8 | GPT-5 Nano | 22.5 | #888 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=harbor-adapters-sldbench-terminus-2 · How It Works · Data refreshed daily, snapshot 2026-11-12.