TimeSage-MT - Code Correctness: leaderboard
Metric: Code correctness (%): half for code that executes cleanly, half for the share of reference output numbers recovered within tolerance, averaged over the applicable tasks; 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 December 2026. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 78.51 |
| 2 | GLM-5.1 | 78.06 |
| 3 | GPT-5.3 Codex | 77.79 |
| 4 | Qwen 3.5 122B A10B | 72.89 |
| 5 | Gemini 3 Flash (Preview) | 72.39 |
| 6 | MiniMax-M2.7 | 71.74 |
Interactive version: theaggregate.ai/benchmark?slug=timesage-mt-code-correctness · How It Works · Data refreshed daily, snapshot 2026-09-29.