Research Training And DistillationResearch Item

GLM 5 744 billion parameter open weight model and agentic reinforcement learning

April 5, 2026BURKOV

BURKOV highlights GLM-5 as a 744 billion parameter open weight model comparable to top proprietary models, crediting reinforcement learning in an agentic setting. The emphasis is that open weight models are reaching frontier-level performance.

“GLM-5 is a 744-billion-parameter open-weight model”
“performs comparably to the best proprietary models (Claude Opus 4.5, GPT-5.2).”
“They use reinforcement learning in an "agentic" setting”
BURKOV
open weightreinforcement learningclaudellmgptopusopen weight

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