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Claude Code tool cuts costs by 51% using dynamic model routing

A developer has created an open-source tool called AutoMode for Claude Code that dynamically selects the most cost-effective Anthropic model (Haiku, Sonnet, or Opus) based on the complexity and risk of a given task. Initial benchmarks showed AutoMode costing more than using Opus alone due to a rule that defaulted risky tasks to Opus. After refining the logic to make Opus a reward for failing checks or blocked changes, AutoMode achieved significant cost savings, with Haiku handling simple questions and Sonnet managing more complex coding tasks, resulting in a 51% reduction compared to using Opus exclusively. AI

IMPACT Developers can significantly reduce AI inference costs by implementing dynamic model selection based on task complexity.

RANK_REASON Developer-created tool for an existing AI product.

Read on dev.to — Claude Code tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Claude Code tool cuts costs by 51% using dynamic model routing

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7 / 100
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Tool
Developer-created tool for an existing AI product.
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — Claude Code tag TIER_1 English(EN) · Alex Ivy ·

    My Claude Code router cost more than Opus. Here's what the benchmark taught me

    <p>I built AutoMode because most of my Claude Code sessions look the same. I ask a quick question, then run a real task, ask another question, then do a harder task. And by default all of it runs on Opus.</p> <p>AutoMode is a free, open source (MIT) Claude Code mod. For every pro…