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I Tested 5 Local LLM Sizes in n8n. The 1.5B Model Beat 14B on Tool-Calling.

This story is from 2026-09-06. It is preserved in the archive; the latest stories are on the live feed.

I spent a weekend benchmarking Qwen2.5 at five sizes — 0.5B, 1.5B, 3B, 7B, 14B — through five real n8n workflows on my M2 Mac. Same prompts, same hardware, same conditions. The results broke my priors: the 1.5B model beat the 14B on tool-calling accuracy AND speed. The 3B model tied 14B on 4 of 5 w…

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  1. 2026-09-06 04:34 · DEV Community — AI
    I Tested 5 Local LLM Sizes in n8n. The 1.5B Model Beat 14B on Tool-Calling.

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