Vibe Coding With GLM 4.7

Video Description

In this video, I vibe code with the brand new GLM 4.7, the latest flagship model from Z.AI released just 22 hours ago. This "affordable" open-source model claims to be a coding powerhouse, but can it actually survive a real-world vibe coding workflow inside Cursor? I break down the specs: 446 Tokens Per Second on native benchmarks (but only 94 TPS in practice), extremely low pricing ($0.40/1M Input), and its 202,000 token context window. I put it to the test building UI components for ViewCreator, and the results were... inconsistent. We discover a major flaw: GLM 4.7 cannot process images (you need GLM 4.6V for that), and we watch it struggle with basic reliability and browser tools live on stream. Is the 10x savings worth the reliability hit? 🌐 Links ViewCreator (Soft Launch): https://www.viewcreator.ai BridgeMind: https://www.bridgemind.ai Discord (Join the Vibe Coding Community): https://bridgemind.ai/discord YouTube: https://www.youtube.com/@bridgemindai X (Twitter): https://twitter.com/bridgemindai Instagram: https://instagram.com/bridgemindai ⏱️ Chapters 00:00 GLM 4.7 Launch & Pricing Analysis 01:43 Speed Test: 446 TPS Claim vs Reality 02:53 Leaderboard & Benchmarks (Sui Bench 73.8%) 05:38 Cursor Setup: Connecting OpenRouter 08:29 The Flaw: No Image Vision Capabilities 15:50 Vibe Coding UI: Thumbnail Showcase Test 25:08 Final Verdict: Affordable but Unreliable? Keywords: vibe coding, GLM 4.7, Z.AI, Cursor, open source AI, coding benchmarks, software engineering, GLM 4.6V, ViewCreator, AI reliability, tokens per second, BridgeMind. #VibeCoding #GLM47 #ZAI #Cursor #OpenSourceAI #SoftwareEngineering #ViewCreator #BridgeMind #Benchmarks #AI