# China's BIGGEST AI Model Yet... Source: https://www.youtube.com/watch?v=JaLycsbTlHU Recap page: https://rapidrecap.app/video/JaLycsbTlHU Generated: 2025-12-24T13:33:54.662+00:00 --- ## Quick Overview The GLM-4.7 model demonstrates significant advancements in coding capability over its predecessor, GLM-4.6, achieving performance gains across multiple benchmarks like SWE-bench (73.8% vs 66.7%) and significantly outperforming Claude 3.5 Sonnet in certain reasoning tasks, while Zhipu AI is preparing for an IPO targeting a $300 million raise, as shown by comparing its aggressive pricing structure against Anthropic's. **Key Points:** - GLM-4.7 shows clear coding gains over GLM-4.6, including +5.8% on SWE-bench (73.8%) and +12.9% on SWE-bench Multilingual (66.7%). - GLM-4.7 achieves a substantial boost in mathematical and reasoning capabilities, scoring 42.8% (+12.4%) on the HLE (Humanity's Last Exam) benchmark compared to GLM-4.6. - GLM-4.7 is positioned as a top-tier model on the Code Arena leaderboard, scoring 1452, beating GPT-5.2 (1398) but trailing Claude Opus 4.5 (1482). - Zhipu AI is reportedly moving closer to an HK IPO, aiming for a $300 million raise, which coincides with the release of GLM-4.7. - The pricing comparison reveals Zhipu AI's competitive edge, with its entry-level GLM Coding plan at $3/month (promo) compared to Claude Code's Pro plan at $20/month. - The video contrasts GLM-4.7's performance against Claude 3.5 Sonnet, noting that while Claude was the previous industry standard for agentic tasks, GLM-4.7 introduces a disruptive force, particularly in cost-effectiveness. - In code generation testing, GLM-4.7 was generally faster and produced higher quality UI code compared to Claude 4.6, although it exhibited some architectural flaws like incorrect module exports that required manual correction. ![Screenshot at 00:06: The SWE-bench Verified benchmark chart shows GLM-4.7 \(second 'Z' bar\) achieving 73.8%, outperforming the previous GLM version \(68.0%\) and Claude \(73.1%\).](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-06.jpg) **Context:** The video analyzes the release of Zhipu AI's new large language model, GLM-4.7, focusing specifically on its enhanced coding abilities and comparing it against competitors like Anthropic's Claude 3.5 Sonnet. Context is provided through benchmark results (SWE-bench, HLE), pricing comparisons for their respective coding subscription plans (Lite vs. Pro/Max), and a live demonstration of code generation accuracy for a complex UI project. ## Detailed Analysis The core focus of the video is the launch and capabilities of GLM-4.7, positioned as a significant advancement over GLM-4.6, especially in multilingual agentic coding and terminal tasks. Performance gains are quantified: GLM-4.7 hits 73.8% on SWE-bench (a 5.8% gain) and 42.8% on HLE (a 12.4% gain over GLM-4.6). A comparison chart places GLM-4.7 (1452) as a top-tier model, competitive with GPT-5.2 and Claude Opus 4.5 (1482). The video also covers the business aspect, noting Zhipu AI's impending $300 million IPO. Pricing is aggressively set, with GLM's entry plan at $3/month (promo) vastly undercutting Claude's $20/month entry plan, offering significantly more prompts per 5 hours across all tiers. A live coding demonstration comparing GLM-4.7 and Claude 4.6 on building a complex streaming platform UI revealed that GLM-4.7 was better architecturally, but still had minor flaws like slow execution times and issues with module exports, which required manual debugging, unlike the seemingly more autonomous Claude 4.6 in that specific instance. The presenter ultimately recommends GLM-4.7 despite these minor quirks due to its superior performance and pricing. ### GLM-4.7 Feature Highlights - Core Coding gains (+5.8% SWE-bench) - Improved reasoning on HLE (+12.4%) - Better UI quality compared to Claude 4.6 - Significant tool usage improvements ### Competitive Benchmarking - GLM-4.7 scores 1452 on Code Arena, beating GPT-5.2 (1398) and competitive with Claude Opus 4.5 (1482) ### Pricing & Value Proposition - Zhipu AI IPO aims for $300M - GLM Entry Tier ($3/mo promo) offers 120 prompts/5hr vs Claude's 10-40 prompts/5hr for $20/mo - GLM Max Tier offers 2,400 prompts/5hr for $30/mo (promo) ### Agentic Coding Comparison (Claude vs. GLM) - Claude 4.6 struggled with speed and architecture in a UI build test, requiring manual fixes for module exports - GLM-4.7 produced a better UI design but was slower in initial execution phases ### Post-Training Development - GLM-4.7 improvements came via post-training (release recipe challenge) rather than architecture changes - The team used LoRA-like RL approach to tune skills ![Screenshot at 00:04: Pricing tiers for Z.ai services showing the Lite plan at $28.8/year on the yearly tab.](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-04.jpg) ![Screenshot at 00:06: A performance benchmark chart highlighting GLM-4.7's score of 73.8% on the SWE-bench Verified task.](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-06.jpg) ![Screenshot at 00:12: A news headline announcing that China's Zhipu AI is moving closer to an HK IPO, eyes $300m raise.](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-12.jpg) ![Screenshot at 00:31: A comparison chart showing the lower input and output prices for Kimi K2 0905 Preview compared to Claude Sonnet 4.](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-31.jpg) ![Screenshot at 00:46: A leaderboard showing GLM-4.7 scoring 1452, placing it as a top-tier model above GPT-5.2.](https://ss.rapidrecap.app/screens/JaLycsbTlHU/00-00-46.jpg)