MuLA-Bench - Temporal Localization: leaderboard

Metric: Accuracy (%; the 1,008 temporal questions on event order and clock-time localization, both tracks; open-ended questions over in-the-wild long-form recordings (median 36.8 minutes, capped at three hours) in the source language, answered from the full recording without transcripts, audio clipped only to a local model's native input limit; each answer judged correct or not by GPT-5.6 Sol on a route-specific binary rubric with programmatic structural and 3-second timing checks; missing or invalid answers scored wrong). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.

Top models

#ModelScore
1Gemini 3.8 Flash66.67
2Gemini 3.7 Flash66.37
3Qwen 3.5 Omni Plus40.58
4Gemini 3.1 Pro (Preview)39.58
5Qwen3.5 Omni Flash27.68
6Muse Spark 1.213.19
7Qwen3 Omni 30B A3B Instruct11.11

Interactive version: theaggregate.ai/benchmark?slug=mula-bench-temporal-localization · How It Works · Data refreshed daily, snapshot 2026-09-26.