GLM-5.2 achieves 89.4% on MMLU-Pro, 82.3% on HumanEval, and 93.1% on GSM8K?

GLM-5.2 achieves 89.4% on MMLU-Pro, 82.3% on HumanEval, and 93.1% on GSM8K.

Uses a Mixture-of-Experts architecture with 70B total parameters but only 42B active?

Uses a Mixture-of-Experts architecture with 70B total parameters but only 42B active.

Released under Apache 2.0 license with full training details for reproducibility.

Open Source

r/LocalLLaMA June 20, 2026

⚡The Chinese lab's new 70B model scores 89.4% on MMLU-Pro, setting a new open source record.

Deep Dive

Key Points

GLM-5.2 achieves 89.4% on MMLU-Pro, 82.3% on HumanEval, and 93.1% on GSM8K.
Uses a Mixture-of-Experts architecture with 70B total parameters but only 42B active.
Released under Apache 2.0 license with full training details for reproducibility.

Enterprises gain a performant, commercially viable open model that rivals top proprietary systems.