GLM-5 vs Opus 4.6 vs GPT-5.3 Codex — Real Coding Test Results
Автор: Snapper AI
Загружено: 2026-02-15
Просмотров: 109
Описание:
GLM-5 vs Opus 4.6 vs GPT-5.3 Codex go head-to-head inside Cursor IDE on the same real-world AI coding tests.
All three models run in the same Cursor agent environment with identical prompts, one-shot builds, and zero human edits, making this a clean side-by-side comparison on practical coding tasks.
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→ Opus 4.6 vs GPT 5.3 Codex — (Original Test Video):
• Opus 4.6 vs GPT 5.3 Codex — Clear Winner o...
🧪 Test 1 — PRD-Driven App Build
A complex real-time earthquake dashboard (QuakeWatch) built from a detailed PRD:
Live USGS API integration
Interactive map with clustered markers
Filterable event feed
Synced data visualizations (3 chart types)
Performance constraints (bundle under 500kb)
Accessibility requirements (ARIA + keyboard navigation)
🎨 Test 2 — Visual UI Rebuild
All three models receive screenshots of the Stripe homepage and must recreate the landing page from images alone — matching layout, typography, spacing, and UI components.
GLM-5 is significantly cheaper than Opus 4.6, but how does it compare on real coding tasks? This video runs the same benchmarks across all three models to see where GLM-5 actually lands.
If you're building production apps from a written spec or recreating UI from screenshots, this comparison will show you exactly how GLM-5 performs against the current coding leaders.
⏱️ TIMESTAMPS
00:00 GLM-5 vs Opus 4.6 vs GPT-5.3 Codex Intro
00:52 Test 1: QuakeWatch PRD Build Time Comparison
02:20 Codex QuakeWatch Build Benchmark Dashboard
02:52 GLM-5 QuakeWatch Dashboard Review
04:09 Test 2: Stripe UI Rebuild Overview
05:22 Opus UI Rebuild Visual Benchmark
06:14 GLM-5 UI Rebuild Results
07:36 Final Verdict Where GLM-5 Lands
🔍 WHAT THIS VIDEO COVERS
◆ GLM-5 vs Opus 4.6 vs GPT-5.3 Codex on identical coding tests
◆ PRD-driven app builds vs screenshot-based UI reconstruction
◆ Build reliability, repair behavior, and dev-mode results
◆ Visual fidelity vs functional correctness tradeoffs
◆ Where GLM-5 fits relative to frontier coding models
🧪 IMPORTANT CONTEXT
This comparison uses a single-agent Cursor setup with one-shot builds and no iteration.
In different environments (Claude Code, multi-turn refinement, task decomposition, agent orchestration), results may vary. This is a controlled snapshot — not a statement about maximum capability.
📄 RESOURCES
→ QuakeWatch PRD: https://github.com/snapper-ai/prd-pro...
→ Opus 4.6 vs GPT 5.3 Codex — (App Build + UI Rebuild):
• Opus 4.6 vs GPT 5.3 Codex — Clear Winner o...
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