Who Wins the Blender MCP 3D AI Showdown? Claude Opus vs OpenAI Codex vs Alibaba Qwen Local LLM

🔗 Discord:   / discord   🔗Sprite Sheets AI (2D game assets): https://spritesheetsai.com/ 🔗ElevenLabs: https://try.elevenlabs.io/j2p44o73fnxb 🔗Lovable Dev: https://lovable.dev/?via=theaivice 🔗 Blender MCP: https://github.com/ahujasid/blender-mcp Today, we're putting Claude Code, OpenAI's Codex, and Qwen 3.5 through the ultimate creative gauntlet using the Blender MCP to build 3D models from nothing but text prompts. We aren't just testing the big cloud models; we are running the massive 122 billion parameter Qwen 3.5 model locally on the new MacBook M5 Max (with a 40-core GPU and 128GB of unified memory) to see if local AI can beat the industry giants. I’ll show you exactly how to wire up the Model Context Protocol (MCP) to let these AIs send Python commands directly into Blender in real-time. Then, we battle it out across five intense rounds: *Round 1:* The Classic Blender Donut *Round 2:* The Claude Bot Logo *Round 3:* UFC World Championship Belt *Round 4:* The Pokeball *Round 5:* The Final Boss - Fantasy Dragon Who do you think won each of the five rounds? Let me know in the comments down below! 🔔 Help us reach our goal of 100,000 subscribers by the end of the year! Hit that subscribe button! AI 3D modeling, Blender MCP tutorial, text to 3D, Claude Code, OpenAI Codex, Qwen 3.5, local LLM, MacBook M5 Max AI test, LM Studio, generative AI 3D, Model Context Protocol.