Zhipu AI (GLM)

9 releases covered on ThursdAI · z.ai ↗

April 2026

Z.ai (Zhipu AI)
New ModelsOpen weights

GLM-5.1

GLM-5.1 takes #1 open-source spot on SWE-Bench Pro at 58.4%

Z.ai released GLM-5.1, now the #1 open-source model on SWE-Bench Pro at 58.4%. It can run autonomously for 8 hours with 1,700+ agent steps, and is already live on W&B Inference. Open weights are up on Hugging Face alongside an arXiv paper.

February 2026

Zhipu AI (Z.ai)
New ModelsOpen weights

GLM-5

Z.ai launches GLM-5, the open-weights agentic coding crown

Z.ai released GLM-5, a 744B-parameter MoE model (40B active) trained on 28.5 trillion tokens that takes the #1 open-source ranking for agentic coding with 77.8% SWE-bench Verified. It introduces the SLIM asynchronous RL framework for post-training, adopts DeepSeek's sparse attention to cut deployment cost, and was trained on Huawei chips rather than NVIDIA. Lou from Z.ai joined the show live and summed it up as bigger, faster, better, and cheaper.

744B GLM-5 Parameters28.5T Training tokens

January 2026

Z.AI (Zhipu)
New ModelsOpen weights

GLM-4.7-Flash

GLM-4.7-Flash: 30B MoE local coding agent with only 3B active params

Z.AI released GLM-4.7-Flash, a 30B parameter MoE model with only 3B active parameters, designed as the ultimate local coding and agent assistant. It hits 59% on SWE-Bench Verified (approaching Sonnet 4's 64%) and runs at 120 tokens/sec on a stock Mac Studio M3 Ultra, fast enough to run RALF autonomous coding loops even on CPU.

59% SWE-Bench Verified120 tps Speed on Mac Studio M3 Ultra

December 2025

Zhipu AI (GLM)
New ModelsOpen weights

GLM 4.5

GLM 4.5 runs on Cerebras fast enough to win hackathons

Zhipu's GLM 4.5 came out in July and was the first open model that ran on Cerebras hardware fast enough that hackathon competitors were winning with it. It set up GLM's quiet rise as a business workhorse later in the year.

Zhipu AI (GLM)
New ModelsOpen weights

GLM 4.6

GLM 4.6 quietly becomes the model businesses actually use

Zhipu's GLM 4.6 arrived in October and, per Nisten, quietly became a go-to model that many businesses still run today. It continued GLM's trajectory from hackathon favorite to production workhorse.

April 2025

March 2025