I Compared 8 AI Agent Platforms. Here's What Running a Team Actually Costs

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Eight Platforms, Ten Tasks, Ten Agent Teams, What Each One Costs, and How to Remove that Cost using Local LLMs

Table of Contents

I. Introduction to Agent Orchestration and the Power of Local LLMs

Why orchestration skills are in demand, what agents cost, and how local LLMs remove that cost.

II. How To Stay Under Budget

Seven rules and one hook that keep your token bills small.

III. Claude Code

A five-agent full-stack feature build with Anthropic's terminal agent.

IV. OpenAI Codex

A parallel test-coverage sweep using codex exec and git worktrees.

V. xAI Grok

Three competing landing-page prototypes, judged by a critic agent.

VI. Google Gemini

Mapping a legacy monorepo with Antigravity CLI's background agents.

VII. Microsoft Copilot

A 12-package dependency upgrade with /fleet and /delegate.

VIII. OpenCode

Complete API documentation from cheap readers and one premium writer.

IX. Pi Code

Four-language localisation with a scripted team...

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