CLIR-Bench - Trend Pattern Recognition: leaderboard
Metric: Accuracy (%) on trend pattern recognition within a window, 4-option multiple-choice questions over serialized irregular ICU time series (Full-TS input), chance 25; higher is better. Source: arxiv.org. Saturation forecast: Around 2034. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 Mini | 35 |
| 2 | Kimi K2.6 | 26.67 |
| 3 | Qwen 3.5 9B | 26.53 |
| 4 | Gemma 3 27B (IT) | 25 |
| 5 | Gemini 2.5 Flash | 25 |
| 6 | DeepSeek V4 Flash | 25 |
| 7 | Qwen 3.5 4B | 21.17 |
| 8 | Gemma 4 12B (IT) | 21.17 |
| 9 | Qwen 3.6 27B | 12.33 |
Interactive version: theaggregate.ai/benchmark?slug=clir-bench-trend-pattern-recognition · How It Works · Data refreshed daily, snapshot 2026-09-29.