GPT-5 Codex vs GLM-4.6 — 3 Coding Tests, One Clear Winner

Описание: 🤖 I put *GPT-5 Codex* and *GLM 4.6* head-to-head across three real coding challenges — identical prompts, identical environments, identical tasks. One model delivered clean, functional builds. The other struggled with UI bugs and broken gameplay.

In this comprehensive comparison, I ran three distinct tests: one-shot app build, PRD planning capability, and game development execution. I tracked code efficiency, planning depth, build speed, and final functionality.

Watch both models tested on instinct (one-shot build), planning (PRD creation), and execution (full game build) — and see which one comes out on top.

⏰ *TIMESTAMPS:*
00:00 Test project setup and overview
00:35 The 3 tests explained
01:30 Model modes and setup (Codex High + Agent, GLM Act mode)
02:11 Test #1: One-shot to-do app build
04:38 Bonus round: Adding advanced features
08:20 Testing Codex to-do app functionality
10:30 Testing GLM 4.6 to-do app functionality
13:06 Test #2: Game PRD planning challenge
18:52 Test #3: Building the game from PRD
19:49 Code review and architecture comparison
23:10 Testing Codex version of Avoid the Box
26:55 Testing GLM 4.6 version of Avoid the Box
31:39 Final verdict and winner declaration

🎯 *THE TEST:*
Three Phases:
Test 1: One-shot to-do app (testing instinct)
Test 2: Game PRD creation (testing planning)
Test 3: Build game from PRD (testing execution)

Conditions:
Identical starting environments (empty project directories)
Identical prompts for all three tests
Same testing criteria (functionality, UI quality, code efficiency)

Models Used:
GPT-5-Codex (High mode, Agent mode for full autonomy)
GLM 4.6 via ZAI (Act mode)

🚀 *WHAT I TESTED:*

Test 1 - To-Do App:

One-shot build capability
Code efficiency (lines of code)
UI design and polish
Feature implementation quality
Creative follow-up prompt handling

Test 2 - PRD Planning:

Planning depth and documentation
PRD structure and organization
Technical specification quality
Scalability and future-proofing thinking

Test 3 - Game Development:

PRD to working prototype conversion
Build speed and efficiency
Code architecture decisions
Bug-free execution
Actual gameplay functionality

📊 *KEY FINDINGS:*

Test 1 - To-Do App Results:
Code Efficiency:

Codex: 507 lines
GLM 4.6: 666 lines

Issues Found:

Codex: Clean functionality, all features working
GLM 4.6: Add button positioned outside container box

Test 2 - PRD Planning Results:

Codex: 67 lines, concise and developer-focused
GLM 4.6: 336 lines, extremely detailed with business strategy

Test 3 - Game Build Results:
Build Time:

Codex: 8 minutes 23 seconds
GLM 4.6: 3 minutes 38 seconds (significantly faster)

Code Architecture:

Codex: Multi-file architecture (HTML, CSS, JS separated)
GLM 4.6: Single-file approach (1,100 lines in one HTML file)

Critical Issues:

Codex: 1 button click handler bug (fixed in 30 seconds)
GLM 4.6: Mouse pointer disappears, broken controls, objects spinning randomly instead of falling, multiple UI bugs

Final Functionality:

Codex: Working gameplay with proper physics after quick fix
GLM 4.6: Non-functional game mechanics, broken core gameplay

⚠️ *Major Issues Summary:*

GLM 4.6: Button layout bug (To-Do App), broken controls and spinning objects (Game)
Codex: One click-handler bug, fixed in seconds

📺 *RELATED VIDEOS:*
GPT-5 Codex vs Claude Sonnet 4.5 (Clear Winner):    • GPT-5 Codex vs Claude Sonnet 4.5 (Clear Wi...  
GPT-5 Codex in Cursor: Complete Setup & Tutorial Guide:    • Codex in Cursor: Complete Setup & Tutorial...  

🔗 *RESOURCES:*
Cursor IDE: https://cursor.sh
GPT-5 Codex: https://openai.com/codex/
GLM 4.6: https://docs.z.ai/guides/llm/glm-4.6
Sign up for updates: https://snapperai.io

🎯 *PERFECT FOR:*
Developers comparing AI coding models
Teams evaluating AI assistants for production use
Cursor IDE users exploring model options
Anyone testing code efficiency vs speed in real builds

💬 *YOUR EXPERIENCE?*
Have you tested GLM 4.6 in real development work? How does it compare to GPT-5 Codex or Claude in your workflow? Drop your experience in the comments!

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