CellTrack-Bench - Repair F1: leaderboard

CellTrack-Bench:frozen c1 hard-test subset,244 neighborhoods; same unannotated frame-pair coordinate interface,crop-and-zoom tool,prompt,parser and token budget. Dataset-macro scores. Pinned primary test configs use GPT5.5/GPT5.6 and Fable5/Opus4.8/Opus5/Sonnet5 Low with final reasoning None after tool withdrawal; Haiku4.5 uses dated20251001 endpoint and None. Open chat runner does not send configured reasoning_effort, so cached Medium is not an evaluated setting. Gemma4 is IT; Qwen3.6 result averages two same-checkpoint replicates. Nearest-neighbor/division resistance and graph-level correctness remain separate metrics. Score (0–1).

Metric: Score (0–1). Source: arxiv.org. Saturation forecast: Around January 2027. 22 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (Low)0.82#20 (GPT-5.6 Sol)
2GPT-5.6 Terra (Low)0.79#39 (GPT-5.6 Terra)
3Claude Fable 5 (Low)0.79#17 (Claude Fable 5)
4GPT-5.5 (Low)0.74#30 (GPT-5.5)
5Claude Opus 5 (Low)0.74#13 (Claude Opus 5)
6Claude Opus 4.8 (Low)0.73#36 (Claude Opus 4.8)
7GPT-5.6 Luna (Low)0.7#73 (GPT-5.6 Luna)
8Kimi K30.66#32
9Qwen 3.5 397B A17B0.66#148
10MiniMax-M30.66#147
11Qwen 3.6 27B0.63#174
12Claude Sonnet 5 (Low)0.63#60 (Claude Sonnet 5)
13Claude Haiku 4.5 (20251001)0.63#254
14Qwen 3.5 35B A3B0.62#259
15Gemma 4 31B (IT)0.61#179

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=celltrack-bench-repair-f1 · How It Works · Data refreshed daily, snapshot 2026-10-24.