My OpenCode experience: From local LLM to free cloud I tried OpenCode because I wanted an AI agent for coding. One of the cool things about an agent is that it automatically checks if all dependencies are installed. No more "module not found" stress. My journey: - I started with Qwen2.5 Coder 14B. Tool calling does not work, so it is useless for an agent framework. - Then I attempted local Qwen3:14B. The problem here is the context window. Tool calling requires num_ctx to be increased to 16384. At that size, the model no longer fits into VRAM and gets partially offloaded to the CPU, which kills performance. - Next I tried local Qwen3:8b. It works fine for simple Nginx configs and static HTML/CSS. But with JavaScript, it struggles without very precise instructions. - I also looked at Qwen3 Coder. Even the smallest model has 30B parameters, which is too heavy for my PC. Then DeepSeek V4 Flash Free changed everything This is a full cloud model, completely free. No API key, no credit card,...
My OpenCode experience: From local LLM to free cloud I tried OpenCode because I wanted an AI agent for coding. One of th...
