---
title: "I use Claude Pro, Qwen 3-Coder, and Gemma 4 together, and it's the most cost-efficient AI workflow I've ever built"
url: https://daily.dev/posts/i-use-claude-pro-qwen-3-coder-and-gemma-4-together-and-it-s-the-most-cost-efficient-ai-workflow-i-9n6akflol
source_url: https://www.xda-developers.com/claude-code-with-opus-48-is-expensive-but-i-made-it-efficient-with-my-local-ai-workflow
type: article
source: "XDA Developers"
published: 2026-05-30T14:32:16.879Z
updated: 2026-05-30T14:32:43.458Z
tags: ["claude", "ollama", "local-ai", "qwen"]
reading_time: 5
upvotes: 1
comments: 0
language: en
---

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# I use Claude Pro, Qwen 3-Coder, and Gemma 4 together, and it's the most cost-efficient AI workflow I've ever built

**[XDA Developers](https://daily.dev/sources/xda-developers)** · 5 min read · 1 upvotes · 0 comments

## Summary

A developer shares a three-model AI workflow combining Claude Pro (frontier reasoning and QA), Qwen 3-Coder 30B (iterative coding and debugging), and Gemma 4 24B (drafting, summarization, brainstorming) — all running through Ollama locally except Claude. The approach preserves Claude's monthly token allowance for high-value tasks while offloading routine work to free local models. Trade-offs include needing at least 16GB VRAM and managing context transfer between models via a running project brief.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.xda-developers.com/claude-code-with-opus-48-is-expensive-but-i-made-it-efficient-with-my-local-ai-workflow>

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---

Tags: [#claude](https://daily.dev/tags/claude), [#ollama](https://daily.dev/tags/ollama), [#local-ai](https://daily.dev/tags/local-ai), [#qwen](https://daily.dev/tags/qwen)

[View this post on daily.dev](https://daily.dev/posts/i-use-claude-pro-qwen-3-coder-and-gemma-4-together-and-it-s-the-most-cost-efficient-ai-workflow-i-9n6akflol)