GLM-4.7 Deep Dive: 358B Parameters, Agentic Reasoning, and the Future of Open Weights episode artwork

EPISODE · Dec 24, 2025 · 33 MIN

GLM-4.7 Deep Dive: 358B Parameters, Agentic Reasoning, and the Future of Open Weights

from Neural intel Pod · host Neuralintel.org

In this episode of the Neural Intel podcast, we go under the hood of GLM-4.7, the newest native agentic LLM from Z.AI. Released on December 22, 2025, this model represents a massive 41% reasoning improvement over its predecessor, GLM-4.6.We discuss the strategic decision to release an incremental 4.7 update rather than jumping to version 5.0, focusing on how Z.AI has optimized tool orchestration and multilingual coding. Our deep dive covers:• The "Thinking" Revolution: How Preserved Thinking maintains reasoning across multi-turn dialogues to reduce information loss.• Benchmark Wars: Analyzing its 84.9 score on LiveCodeBench and how it stacks up against GPT-5.2 and Gemini 3 Pro.• Hardware and Deployment: What it takes to run a 358B parameter model locally using vLLM or SGLang.Join the conversation: 🐦 Follow us on X/Twitter: @neuralintelorg 🌐 Read the full technical report at: neuralintel.org

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GLM-4.7 Deep Dive: 358B Parameters, Agentic Reasoning, and the Future of Open Weights

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