TSQueryBench - Anomaly Count Accuracy: leaderboard
Metric: Multi-anomaly count accuracy (%, times 100): share of 100 synthetic series (1 to 10 anomalies, lengths 100 to 500) where the model reports exactly the right number of anomalies, zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B (IT) | 45 |
| 2 | DeepSeek V3.2 | 25 |
| 3 | Qwen 3 8B | 12 |
| 4 | Llama 3.1 8B Instruct | 1 |
| 5 | Claude 3 Haiku | 1 |
| 6 | Gemma 3 12B (IT) | 0 |
Interactive version: theaggregate.ai/benchmark?slug=tsquerybench-anomaly-count-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-07.