Ming-Lite-Omni-1.5: benchmark results

Provider: InclusionAI. Released 2025-07-16. Access: Open.

Aggregate Rating 1486 ± 42, rank #2454 of 10870 rated models, from 32 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
SonicBench - Counting65Accuracy (%; number of sound events (PicoAudio); 100 recogni80.6
SonicBench - Texture94Accuracy (%; sound texture (ESC-50); 100 recognition and 10079.7
SonicBench - Duration53Accuracy (%; sound-event duration (TAU); 100 recognition and69.4
SonicBench57Accuracy (%; mean over 12 physical attributes of 100 recogni67.7
SonicBench - Loudness53Accuracy (%; loudness (integrated LUFS contrasts of at least62.9
SonicBench - Reverberation53Accuracy (%; reverberation (SRIR room impulse responses); 1062.9
SonicBench - Timbre57Accuracy (%; instrument timbre (NSynth); 100 recognition and62.9
SonicBench - Pitch57Accuracy (%; pitch height (NSynth notes, one-semitone contra58.1
MOV-Bench - Hypothetical Reasoning35Accuracy (%; 60 hypothetical-reasoning questions; direct inf57.1
MOV-Bench - Intent Reasoning50Accuracy (%; 80 intent-reasoning questions; direct inference57.1
OmniGAIA - Movie6.1Movie Accuracy (%)50
SonicBench - Brightness52Accuracy (%; spectral brightness (NSynth); 100 recognition a50

Interactive version: theaggregate.ai/model?slug=ming-lite-omni-1-5 · How It Works · Data refreshed daily, snapshot 2026-11-12.