TimeSage-MT - L1 Open Exploration: leaderboard
Metric: Outcome score (%) on the 60 L1 open-exploration tasks (3-10 turns, profile or data-summary answers): per-task mean of the applicable outcome dimensions (numerical accuracy, factual verification, GPT-5.4-judged analytical quality and code correctness, plus decision making at L4); Code-Enabled Reasoning setting (the model writes Python, a sandbox runs it, the model answers from stdout; 240 multi-turn time-series analysis tasks over 8 domains), temperature 0, reasoning effort high where supported and medium for GPT-5.3-Codex; higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 49.61 |
| 2 | GLM-5.1 | 49.11 |
| 3 | GPT-5.3 Codex | 48.86 |
| 4 | Qwen 3.5 122B A10B | 47.18 |
| 5 | MiniMax-M2.7 | 45.29 |
| 6 | Gemini 3 Flash (Preview) | 44.08 |
Interactive version: theaggregate.ai/benchmark?slug=timesage-mt-l1-open-exploration · How It Works · Data refreshed daily, snapshot 2026-09-29.