Best local coding model for OpenCode (2026): which ones call tools, and what fits your GPU

OpenCode only works when the model can call tools and holds 64K of context. Seven local models pass the first test. Here is what each one needs in… Aliteq Syntax · Build Editor

The best local coding model for OpenCode is the biggest tool-calling model that fits your GPU at 64K of context. On a 16 GB card that is gpt-oss 20B. On a 24 GB card it is Qwen3.6 27B, with Qwen3.8…

Tool calling is the gate. OpenCode edits files and runs commands through tool calls. Pick a model with Ollama's tools tag

64K context is the price of entry. Ollama defaults to 4K under 24 GB of VRAM, which breaks tool calls

VRAM at 64K, our engine: gpt-oss 20B 15.5 GB, Qwen3.6 27B 20.4 GB, Qwen3-Coder 30B 23.9 GB, Qwen3-Coder-Next 47.2 GB

Benchmarks are the labs' own. Each lab used its own harness, so the scores don't rank the models against each other

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