GLM-4-Voice-9B: benchmark results

Provider: Zhipu. Access: Open.

Aggregate Rating 1488 ± 50, rank #2540 of 10916 rated models, from 32 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
StyleBench (Speaking Style) - Angry (Turn 3)36.88Valid sample percentage (%): share of the 160 angry-emotion 100
StyleBench (Speaking Style) - Disgusted (Turn 3)43.13Valid sample percentage (%): share of the 160 disgusted-emot100
StyleBench (Speaking Style) - Fearful (Turn 3)26.25Valid sample percentage (%): share of the 160 fearful-emotio100
StyleBench (Speaking Style) - Happy (Turn 3)33.13Valid sample percentage (%): share of the 160 happy-emotion 100
StyleBench (Speaking Style) - Multi-Turn Relevance69.31Multi-turn semantic relevance degree (%): relevance of each 100
StyleBench (Speaking Style) - Pitch (Turn 2)68.12Valid sample percentage (%): share of the 160 pitch test dia100
StyleBench (Speaking Style) - Sad (Turn 3)51.25Valid sample percentage (%): share of the 160 sad-emotion te100
StyleBench (Speaking Style) - Surprised (Turn 3)45.63Valid sample percentage (%): share of the 160 surprised-emot100
StyleBench (Speaking Style) - Volume (Turn 2)61.25Valid sample percentage (%): share of the 160 volume test di100
StyleBench (Speaking Style) - Angry (Turn 2)50.63Valid sample percentage (%): share of the 160 angry-emotion 75
StyleBench (Speaking Style) - Disgusted (Turn 2)38.75Valid sample percentage (%): share of the 160 disgusted-emot75
StyleBench (Speaking Style) - Fearful (Turn 2)41.25Valid sample percentage (%): share of the 160 fearful-emotio75

Interactive version: theaggregate.ai/model?slug=glm-4-voice-9b · How It Works · Data refreshed daily, snapshot 2026-11-08.