Make Claude Code FREE with MiniMax M3 (Live Proof!) | I Replaced Claude with Free MiniMax M3

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Are you tired of Anthropic's subscription fees or strict usage limits cutting off your terminal workflow? In this live-proof video, I show you how to take full control of your development environment and Make Claude Code 100% FREE by running it completely locally using Ollama! Your source code never leaves your computer, you get zero-cost API requests, and you bypass all cloud limitations instantly.

Other Video link :
1. Make Claude Code FREE with MiniMax M3 (Live Proof!) - https://youtu.be/2SHUToaESQg
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5. I Replaced Claude with FREE GLM 5.2 - https://youtu.be/YJNzppPhWlE
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7. Claude Fable 5: The AI That Actually Thinks For Days - https://youtu.be/V7VaeJttW0I
8. Stop Using Paid AI! How to Get GPT-5.5 & Codex For FREE - https://youtu.be/iyAVEQcSNvs

Timestamps :
00:00 - Introduction: Accessing MiniMax Models for Free
00:17 - Ollama Installation and Website Setup
00:47 - Searching for and Configuring the MiniMax M3 Model
01:01 - Command Prompt Setup and Model Pulling
01:35 - Running the Model Locally and Testing
02:02 - Installing and Setting Up Claude Code
02:27 - Configuring Settings File in Claude Directory
03:20 - Final Integration with VS Code and Verification

First, we do a deep dive into why Ollama's local engine is a game-changer for agentic developer tools. Ollama now natively supports Anthropic API message patterns, allowing local open-source models like qwen3-coder or deepseek-coder to execute complex multi-turn chats, read system directories, and handle function tool calling autonomously without breaking your workflow.

Next, I walk you through the manual command-line environment setup step-by-step. I show you how to download and launch your preferred local coding model using Ollama, ensure your context window is scaled up to handle large codebases, and permanently assign your shell environment paths. We’ll tweak your configuration variables, setting the ANTHROPIC_BASE_URL straight to your local host port (http://localhost:11434) and mapping out your custom model flags so Claude Code points to your offline setup seamlessly.

Finally, I show you live proof of the terminal tool executing file reads, writing bug patches, and running tests locally on my machine. We’ll also look at how to monitor your machine's hardware performance and utilize model overrides to swap between different local models smoothly.

Make sure to follow every environment variable string exactly as shown so your terminal doesn't throw a connection or 404 error code! If this offline local setup saves you money and secures your private repositories, please drop a LIKE, leave your model questions in the COMMENTS below, and SUBSCRIBE to TechTid for the absolute best developer tutorials, open-source AI guides, and terminal automation hacks.

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