GLM-4.7: The Open-Source Coding Model That's Challenging GPT-5.1 and Claude The AI landscape just got more interesting. On December 22, 2025, Z.ai (formerly Zhipu AI) released GLM-4.7—and it's not just another incremental update. This open-source model is genuinely competing with the proprietary giants at a fraction of the cost. Amazing tool i tested during christmas period . MIND BLOWING Here's what makes GLM-4.7 worth your attention: Built for Real Development, Not Just Chat Unlike models optimized for chat demos, GLM-4.7 was designed for agentic coding workflows—long, multi-step tasks where consistency matters. It natively integrates with tools like Claude Code, Cline, Roo Code, and Kilo Code. The secret weapon? A triple thinking system: - Interleaved Thinking: Reasons before every response and tool call - Preserved Thinking: Retains reasoning across multi-turn conversations (no more "forgetting" what it just decided) - Turn-level Thinking: Toggle reasoning on/off per request—fast when you need speed, deep when complexity demands it BENCHMARK SEE IN THE ATTCHMENT !!!!! 🎨 "Vibe Coding": Better Frontend Output Here's something benchmarks don't capture: GLM-4.7 generates cleaner, more modern UI code. - Better HTML/CSS layouts - Proper spacing and typography - High-contrast dark modes that actually look professional - Slides and posters with consistent aesthetics If you've ever gotten "technically valid but ugly" code from AI, GLM-4.7 addresses that pain point directly. 🔓 Why Open-Source Matters With 355B total parameters (32B active via MoE architecture), GLM-4.7 offers: - Full transparency: Weights available on HuggingFace and ModelScope - Self-hosting: Deploy in air-gapped environments for regulated industries - Fine-tuning: Customize on proprietary datasets - No vendor lock-in: MIT licensed - 200K context window with 128K max output 🤔 When to Choose GLM-4.7 Choose GLM-4.7 when: - Cost-efficiency is critical - You need strong tool-use and agentic workflows - You want open-source flexibility and customization - Building AI coding assistants or IDE plugins - Running long, multi-turn coding sessions

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