commit e2768468918030cca4165dd3bed59c78a8ca2356
Author: Gemini AI <gemini@google.com>
Date:   Wed Dec 24 19:47:46 2025 +0400

    🚀 Initial GLM-4.7 Article Upload

diff --git a/README.md b/README.md
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+# 🚀 GLM-4.7 vs. The $200 Giants: Is China’s $3 AI Coding Tool the New Market King?
+
+```text
+██████╗ ██╗     ███╗   ███╗      ██╗  ██╗    ███████╗
+██╔════╝ ██║     ████╗ ████║      ██║  ██║    ╚════██║
+██║  ███╗██║     ██╔████╔██║█████╗███████║        ██╔╝
+██║   ██║██║     ██║╚██╔╝██║╚════╝╚════██║       ██╔╝ 
+╚██████╔╝███████╗██║ ╚═╝ ██║           ██║       ██║  
+ ╚═════╝ ╚══════╝╚═╝     ╚═╝           ╚═╝       ╚═╝  
+      THE FRONTIER AGENTIC REASONING MODEL (2025)
+```
+
+The global landscape for AI-powered development is shifting. While Western tools like Cursor and GitHub Copilot have dominated by charging premium subscription rates (often reaching $200 per year), a new contender from China has arrived to dismantle that pricing model.
+
+**Zhipu AI** has released **GLM-4.7**, a large language model specifically engineered for coding, offering performance that rivals top-tier US models at a fraction of the cost. With a price point hovering around **$0.60 per 1M tokens**, GLM-4.7 is forcing developers to question if expensive subscriptions are still necessary.
+
+---
+
+## ⚔️ The Frontier Battle: Head-to-Head Benchmarks
+
+GLM-4.7 doesn't just compete; it dominates the 2025 SOTA (State of the Art) benchmarks, outperforming giants like Claude 4.5 and Gemini 3 Pro in core agentic workflows.
+
+### 📊 Performance Visualization
+```mermaid
+graph TD
+    subgraph Benchmarks
+    M[Math - AIME 25] --> G1[GLM-4.7: 95.7%]
+    M --> C1[Claude 4.5: 88.5%]
+    
+    CO[Coding - LiveCode] --> G2[GLM-4.7: 84.9%]
+    CO --> C2[Claude 4.5: 61.2%]
+    
+    S[Science - GPQA] --> G3[GLM-4.7: 85.7%]
+    S --> C3[Claude 4.5: 84.1%]
+    
+    L[Logic - HLE] --> G4[GLM-4.7: 42.8%]
+    L --> C4[Claude 4.5: 22.5%]
+    end
+    
+    style G1 fill:#00ff00,stroke:#333,stroke-width:2px
+    style G2 fill:#00ff00,stroke:#333,stroke-width:2px
+    style G3 fill:#00ff00,stroke:#333,stroke-width:2px
+    style G4 fill:#00ff00,stroke:#333,stroke-width:2px
+```
+
+| Category | Benchmark | **GLM-4.7** | Claude 4.5 | Gemini 3 Pro | Winner |
+| :--- | :--- | :--- | :--- | :--- | :--- |
+| **Math** | AIME 25 | **95.7** | 88.5 | 90.2 | 🥇 GLM-4.7 |
+| **Coding** | LiveCode | **84.9** | 61.2 | 72.0 | 🥇 GLM-4.7 |
+| **Science** | GPQA | **85.7** | 84.1 | 83.0 | 🥇 GLM-4.7 |
+| **Logic** | HLE | **42.8** | 22.5 | 30.0 | 🥇 GLM-4.7 |
+| **Price** | Per 1M Tokens | **$0.60** | $15.00 | $1.25 | 🥇 GLM-4.7 |
+
+---
+
+## 🛠️ What is GLM-4.7? The Technical Breakdown
+
+GLM-4.7 is the latest iteration of the General Language Model (GLM) series developed by Beijing-based **Zhipu AI**. Unlike general-purpose models, GLM-4.7 is optimized heavily for code generation and function calling.
+
+### 🚀 Key Technical Highlights
+- **Extended Context Window (200K):** Capable of handling massive codebases in a single prompt, allowing it to "remember" entire file structures better than any previous iteration.
+- **Deep Thinking Mode:** Forced systematic reasoning for high-complexity architectural tasks. It traverses a "Tree of Thoughts" to ensure logic consistency.
+- **All-Tools Capabilities:** Autonomously browses the web, executes code, and interprets data to solve complex engineering problems without human hand-holding.
+- **Extreme Efficiency:** Proprietary architecture delivering high inference speeds at 25X lower cost than Claude 4.5 Opus.
+
+---
+
+## 📈 Why This Matters for the Future of DevOps
+
+For CTOs and engineering managers, the calculation is changing. The "value add" of a $200 tool is no longer just about ability, but about **ROI**.
+
+If a $3 model can perform 90% of the tasks that a $200 model can, the justification for high-cost enterprise licenses evaporates. This pressure will likely force Western competitors to lower prices or significantly boost their feature sets to maintain market share.
+
+### 🔄 The ROI Shift
+```mermaid
+pie title Cost Comparison (Yearly)
+    "Western Incumbents ($200+)" : 200
+    "GLM-4.7 Ecosystem (~$10)" : 10
+```
+
+---
+
+## ❓ FAQ: GLM-4.7 and the AI Coding Market
+
+**Is GLM-4.7 better than GPT-4 for coding?**
+While GPT-4 excels in general nuance, GLM-4.7 is highly competitive in pure coding syntax, debugging, and speed, especially for agentic workflows where multi-step reasoning is required.
+
+**How much does the GLM-4.7 coding tool cost?**
+The Lite plan starts as low as **$9/quarter** (with current promos), and API usage is approximately **$0.60 per 1M tokens**.
+
+**Who makes GLM-4.7?**
+GLM-4.7 is developed by **Zhipu AI**, a leading artificial intelligence company headquartered in Beijing, China.
+
+**Can I use GLM-4.7 in the US?**
+Yes, Zhipu AI offers global API access. It is already integrated into popular tools like **TRAE SOLO**, **Cline**, and **Roo Code**.
+
+---
+
+## 🎁 Special Christmas Offer
+
+Don't miss out on the AI Coding Revolution. Get the most powerful model for the lowest price!
+
+🎄 **Xmas Mega Discount:** **50% OFF** first-purchase!
+➕ **Extra 10% OFF** using the invite code below!
+
+🔗 **Claim your discount here:** [https://z.ai/subscribe?ic=R0K78RJKNW](https://z.ai/subscribe?ic=R0K78RJKNW)
+🎟️ **Invite Code:** `R0K78RJKNW`
+
+---
+*The era of the "$200 AI coding tax" is over. Join the GLM revolution today.*