GLM-4.6 FP8: benchmark results

GLM-4.6 evaluated in FP8 quantization. Provider: Zhipu. Released 2025-09-30. Access: Open.

Aggregate Rating 1667 ± 27, rank #278 of 1656 rated models, from 19 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
RewardBench 2 Math90.44Score (%)97.8
RewardBench 2 Precise IF64.06Score (%)91.9
MATH-MC Level 599.69Accuracy (%)90.4
RewardBench 2 Factuality77.95Accuracy (%)88.3
RewardBench 2 Focus90.91Score (%)86.5
MolecularIQ - Generation22Mean Accuracy (%)78.4
MolecularIQ - Indexing11.3Mean Accuracy (%)75.7
MolecularIQ - Overall16.2Mean Accuracy (%)75.7
MATH-MC Level 198.6Accuracy (%)75
MATH-MC Level 499.33Accuracy (%)75
RewardBench 2 Safety87.11Score (%)71.4
MATH-MC Level 298.53Accuracy (%)71.3

Interactive version: theaggregate.ai/model?slug=glm-4-6-fp8 · How It Works · Data refreshed daily, snapshot 2026-10-20.