Harbor Adapters - AlgoTune (Terminus-2): leaderboard
AlgoTune, speeding up reference implementations of numerical and algorithmic routines, all 154 tasks: each task scores log(s)/(log(s)+1), where s is the speedup over the reference floored at 1, so a slower or invalid solution scores 0; the mean is shown on a 0-100 scale, 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: Normalized speedup score (0-100; 154 tasks, mean of 3 trials). Source: arxiv.org. Saturation forecast: Around September 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude Sonnet 4.6 | 26 | #158 |
| 2 | Claude Opus 4.6 | 25.9 | #100 |
| 3 | Gemini 3.1 Pro (Preview) | 23.9 | #91 |
| 4 | Gemini 3 Flash (Preview) | 18.2 | #141 |
| 5 | GPT-5.4 (Medium) | 16.6 | #121 (GPT-5.4) |
| 6 | GPT-5 Mini | 13 | #349 |
| 7 | Claude Haiku 4.5 | 9.6 | #568 |
| 8 | GPT-5 Nano | 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-algotune-terminus-2 · How It Works · Data refreshed daily, snapshot 2026-11-12.