In this video, I'll be comparing Claude Opus 4.7, GPT-5.4, and Kimi K2.6 Code, and breaking down which model is best for backend work, frontend work, and overall value.

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Key Takeaways:

🚀 GPT-5.4 is the best default choice for most coding tasks, especially backend work, debugging, planning, and tool use.  
🎨 Kimi K2.6 Code stands out for frontend work and feels surprisingly strong on backend too.  
💸 Kimi may be the best overall value if you care about performance, speed, and cost.  
🛠️ Opus 4.7 is still capable, but it does not feel like a big enough upgrade for the price.  
🔗 Verdent gives Opus 4.7 a much better workflow with parallel tasks, isolated workspaces, and cleaner planning.  
⚡ GPT-5.4 feels like the most complete model overall, with the strongest consistency across tasks.  
👍 If you want the best balance of quality and cost, Kimi K2.6 Code is the one to watch.

AICodeKing

A practical comparison of three AI coding models: GPT 5.4, Claude Opus 4.7, and Kimi K2.6 Code. GPT 5.4 is rated best for general coding tasks including backend work, debugging, and multi-step agentic tasks. Kimi K2.6 Code is highlighted as the best value pick, especially strong on frontend UI generation at a lower cost. Claude Opus 4.7 is criticized for disappointing backend performance and poor cost-to-value ratio, though using it via the Verdent platform is recommended as the best way to get the most out of it.

Opus 4.7 V/S GPT-5.4 V/S Kimi K2.6 Code: The ONLY SENSIBLE COMPARISON YOU NEED!