Local AI Models Tutorials
Running open-weight models locally with Ollama and picking the right model for your hardware.
Gemini 3,GLM 5.3,Ling 3.0,Qwen 3.8,Mistral Large 3 & More — 100% FREE Forever 🤯
Want to use Gemini 3, GLM 5.3, Ling 3.0, Qwen 3.8, Mistral Large 3 and 20+ more AI models for 100% FREE? No credit card, no subscription — here's exactly how. In this video I show you a full list of free AI models you can access right now, including models with up to 1 MILLION token context windows. I'll walk you through where to find them, how to get an API key, how to compare speed and uptime, and which free models are actually worth using for coding, writing, image generation and reasoning. Whether you're a developer building side projects, a student who can't afford ChatGPT Plus, or you just want to test the newest models before paying for them, this list will save you hundreds of dollars. ⏱️ TIMESTAMPS 00:00 – Intro: 20+ free AI models 00:xx – Where to find these free models 00:xx – How to get your free API key 00:xx – Best free model for coding 00:xx – Best free model for reasoning 00:xx – Free image generation models 00:xx – Models with 1M context window 00:xx – Speed & uptime comparison 00:xx – Which one should you use? 🔗 LINKS Free models list: [your link] My other AI videos: [playlist link] ❤️ If this helped, drop a LIKE and SUBSCRIBE — I post free AI tools and API tutorials every week. Note: free tiers can change at any time, so check current limits before you build on them. #FreeAI #Gemini3 #AITools
Freebuff: The FREE Claude Code Alternative? (2026)
Freebuff is a powerful FREE AI coding agent and a potential alternative to Claude Code. In this video, I'll show you how to install Freebuff, set it up, and use it for AI-powered coding in your terminal. You'll see how Freebuff works, which AI models are available, and how its free AI coding experience compares with tools like Claude Code and other AI coding agents. Topics covered: Freebuff setup 2026 Freebuff installation Free AI coding agent Free Claude Code alternative Freebuff AI models MiniMax M2.7 AI coding in terminal Free coding agent Claude Code alternative AI programming tools 2026 Free AI developer tools If you're looking for a free AI coding agent that can help you write, modify, debug, and understand code, Freebuff is worth checking out.
Claude Code + VS Code: Free AI Coding Setup (2026 Guide)
Set up Claude Code in VS Code for free in under 10 minutes. Install, authenticate, configure CLAUDE.md, and add a local fallback for unlimited coding. H1: How to Set Up Claude Code in VS Code for Free. Claude Code runs inside VS Code through Anthropic's official extension. Install Node.js, add the Claude Code extension from the VS Code Marketplace, sign in with a free Anthropic account, and open the panel with the keyboard shortcut. Setup takes about five minutes and requires no paid subscription to start. H2: What is Claude Code for VS Code? H2: Is Claude Code free to use in VS Code? H2: How do you install the Claude Code extension? (numbered steps, one action per step) H2: What are the system requirements? H2: How do you get better results with a CLAUDE.md file? H2: How do you run a free local model as a fallback? H2: Claude Code vs Cursor vs GitHub Copilot: which is free? (comparison table — tables get cited heavily in AIOs) H2: Common setup errors and fixes H2: Frequently asked questions FAQ block (mark up with FAQPage schema): Is Claude Code free? — There is a free tier with usage limits, plus the VS Code extension itself is free. Heavier daily use generally requires a paid plan or API credits. Do I need the terminal? — No. The extension gives you a full GUI panel, though the CLI remains available. Does it work offline? — Not on its own. Pair it with a local model runner like Ollama for offline coding. Which languages does it support? — Any language VS Code supports; results are strongest in widely-used ecosystems like Python, JavaScript, TypeScript, and Go.
Use Codex for FREE with Ollama — $0 AI Coding
Can you use Codex for free with local AI models? In this video, I'll show you how to connect Codex with Ollama and use local AI models for coding without relying entirely on paid cloud AI APIs. You'll see the complete setup, how the workflow works, and how Codex can interact with local models through Ollama. You'll learn: • How to use Codex for free • How to install and configure Ollama • How to connect Codex with local AI models • How to run AI coding models locally • How to use Ollama models for coding • Whether this setup can reduce AI API costs • What limitations you should know about • How to choose a local model for coding ### Is Codex free? Codex availability and usage limits depend on the specific Codex product, account, and access method. This tutorial focuses on using Codex together with local AI models through Ollama to explore a $0-cost local AI coding workflow. ### What is Ollama? Ollama allows AI models to run locally on your own computer. Instead of sending every request to a cloud API, compatible models can run directly on your machine. ### Codex + Ollama The interesting part is combining an AI coding workflow with local models. This can give developers another option when they want to experiment with AI coding without continuously paying for API usage. Watch the complete tutorial to see the setup and test the workflow yourself. #Codex #Ollama #AICoding #LocalAI #OpenAI #Coding Is Codex free? How do I use Codex for free? Can Codex use local AI models? Can I use Ollama with Codex? How do I connect Codex to Ollama? Can Ollama be used for coding? What is the best local AI model for coding? Can I run AI coding models locally? How can I code with AI for free? Can local AI replace paid coding APIs?
What Is OpenClaw? The Free AI Assistant That Actually Does Things
H1: OpenClaw: The Free AI Agent That Actually Does Things OpenClaw is a free, open-source AI agent created by Peter Steinberger that runs locally on your own computer and takes instructions through chat apps you already use — WhatsApp, Telegram, Signal, Discord, or iMessage. Released in November 2025, it is now the most-starred repository on GitHub with over 388,000 stars, surpassing Linux and React. H2: What is OpenClaw and who made it? Cover Peter Steinberger (Austrian developer, founder of PSPDFKit), November 2025 release, MIT license, TypeScript and Swift, cross-platform. H2: Why was OpenClaw renamed from Clawdbot to Moltbot to OpenClaw? This is a genuinely high-volume query with a clean factual answer: Clawdbot (Nov 2025) → Moltbot on January 27, 2026 after trademark complaints from Anthropic over the similarity to Claude → OpenClaw on January 30, 2026, because Steinberger said Moltbot "never quite rolled off the tongue." Include the dates. Date-anchored facts get cited heavily. H2: What can OpenClaw actually do? Ground the "actually does things" claim in concrete verbs: organizes inboxes, sends email, manages calendars, checks you in for flights, runs cron jobs and scheduled heartbeats, keeps persistent local memory across sessions, writes and installs its own skills. Persistent memory is the differentiator most comparison queries hinge on. H2: Is OpenClaw really free? Yes for the software, no for the intelligence. Explain the token cost, and that you can sign in with an existing ChatGPT or Claude subscription, or route to DeepSeek or a local model. H2: How do you install OpenClaw? Desktop apps for macOS, Windows and Linux, or npm install -g openclaw with Node.js 22+, then the onboarding wizard. Realistic time estimate: 15 minutes, not 5. H2: Is OpenClaw safe to use? Do not skip this or soften it. Pages that only sell OpenClaw get outranked in AI answers by pages that address risk, because the risk queries have enormous volume. Cite Cisco's finding that a third-party skill performed data exfiltration and prompt injection without user awareness, the published one-click RCE and command-injection advisories, Axios and IBM X-Force coverage, and the maintainer quote that if you can't use a command line "this is far too dangerous of a project for you to use safely." Then give mitigations: run it in a sandbox or VM, use Microsoft Execution Containers on Windows, scope credentials narrowly, never expose the gateway to the open internet, vet skills manually. H2: OpenClaw vs Claude Code vs ChatGPT agents Put this in an actual HTML table with rows for interface, memory, autonomy, cost model, and license. Tables are disproportionately likely to be parsed into comparison answers. H2: Who owns OpenClaw now? On February 15, 2026 Sam Altman confirmed OpenAI acquired OpenClaw and Steinberger joined the company; the project moved to a foundation to remain open and independent. This is the freshest major development and a strong differentiator versus older articles still ranking. H2: FAQ { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Is OpenClaw free?", "acceptedAnswer": { "@type": "Answer", "text": "OpenClaw is free and open source under the MIT license. However, it requires a large language model to function, so you pay for API tokens from providers like Anthropic, OpenAI, or DeepSeek, or connect an existing ChatGPT or Claude subscription. Running a local model makes it fully free." } }, { "@type": "Question", "name": "How many GitHub stars does OpenClaw have?", "acceptedAnswer": { "@type": "Answer", "text": "OpenClaw has over 388,000 GitHub stars and roughly 3,300 contributors, making it the most-starred software repository on GitHub, ahead of Linux and React. It reached that position in under six months from its November 2025 release." } }, { "@type": "Question", "name": "Is OpenClaw safe?", "acceptedAnswer": { "@type": "Answer", "text": "OpenClaw carries real security risks because it requires broad permissions to email, calendars, files, and messaging accounts. Documented issues include prompt injection, malicious third-party skills, and a one-click remote code execution advisory. Cisco researchers found a community skill exfiltrating data without user awareness. Run it sandboxed, scope credentials narrowly, and never expose the gateway to the public internet." } }, { "@type": "Question", "name": "What was OpenClaw called before?", "acceptedAnswer": { "@type": "Answer", "text": "OpenClaw launched as Clawdbot in November 2025. It was renamed Moltbot on January 27, 2026 following trademark complaints from Anthropic, then renamed again to OpenClaw on January 30, 2026." } }, { "@type": "Question", "name": "What is the difference between OpenClaw and Claude Code?", "acceptedAnswer": { "@type": "Answer", "text": "Claude Code is a terminal-based coding assistant that resets context between sessions. OpenClaw is a persistent background agent with local long-term memory that runs continuously, accepts instructions from chat apps, and can operate any model including Claude, GPT, or DeepSeek." } } ] }
Run AI for FREE Forever — No GPU, No API Key
writing{variant="document" id="58321" title="SEO Description"}Want to run AI for FREE without buying a GPU, paying for a subscription, or using an API key? In this video, I'll show you how to run AI locally on your computer using a completely free setup. You'll learn how to run AI models without expensive cloud services, avoid monthly subscriptions, and use your own computer to process AI tasks. I'll also show you the setup process, recommended models, hardware requirements, and how to get started even if you don't have a dedicated GPU. Whether you want to run an AI chatbot, LLM, coding assistant, or other AI tools locally, this method can help you use AI without recurring costs. 🔥 What you'll learn:• How to run AI for free• How to run AI without a GPU• How to run AI locally• How to use AI without a subscription• How to run AI without an API key• Best free local AI models• CPU vs GPU AI performance• How to set up local AI If you're looking for a free AI alternative to expensive subscriptions, this tutorial is for you. #FreeAI #LocalAI #AI #NoGPU #ArtificialIntelligence writing{variant="document" id="58321" title="SEO Description"} Want to run AI for FREE without buying a GPU, paying for a subscription, or using an API key? In this video, I'll show you how to run AI locally on your computer using a completely free setup. You'll learn how to run AI models without expensive cloud services, avoid monthly subscriptions, and use your own computer to process AI tasks. I'll also show you the setup process, recommended models, hardware requirements, and how to get started even if you don't have a dedicated GPU. Whether you want to run an AI chatbot, LLM, coding assistant, or other AI tools locally, this method can help you use AI without recurring costs. 🔥 What you'll learn: • How to run AI for free • How to run AI without a GPU • How to run AI locally • How to use AI without a subscription • How to run AI without an API key • Best free local AI models • CPU vs GPU AI performance • How to set up local AI If you're looking for a free AI alternative to expensive subscriptions, this tutorial is for you. #FreeAI #LocalAI #AI #NoGPU #ArtificialIntelligence🔑
I Cancelled My $200 AI Coding Subscription for This Free Terminal Agent
I was paying $200 a month for AI coding tools. Then I switched to OpenCode — a free, open source AI coding agent that runs in your terminal — and I haven't gone back. I was paying $200 a month for AI coding tools. Then I switched to OpenCode — a free, open source AI coding agent that runs in your terminal — and I haven't gone back. In this video I break down exactly why I cancelled, what OpenCode does better than Claude Code and Cursor, where it still falls short, and how to set it up in under 10 minutes. OpenCode is MIT licensed, works with 75+ model providers including Claude, GPT, Gemini and local models via Ollama, and ships as a terminal UI, desktop app and IDE extension. If you're tired of vendor lock-in, per-seat pricing, or sending your codebase to someone else's cloud, this one's for you. ⏱️ CHAPTERS 00:00 The $200 problem 00:xx What OpenCode actually is 00:xx Install & first run 00:xx Bring your own model (Claude, GPT, Gemini, local) 00:xx OpenCode vs Claude Code — head to head 00:xx Running it fully offline 00:xx Where OpenCode still loses 00:xx Should you cancel too? 🔗 LINKS OpenCode: https://opencode.ai Docs: https://opencode.ai/docs GitHub: https://github.com/sst/opencode My config / dotfiles: [your link] 💬 Are you still paying for an AI coding subscription? Tell me what you're using in the comments. #opencode #aicoding #opensource
How to Run Any AI Model Offline in 5 Minutes (Ollama Tutorial)
Want to run powerful AI models like Llama 3, Mistral, or DeepSeek completely offline, no internet, no subscriptions, no data sent to the cloud? In this video, I'll show you how to set up Ollama and run any AI model locally on your computer in under 5 minutes, even if you've never touched the command line before. We'll cover installing Ollama on Windows, Mac, and Linux, downloading and running your first local AI model, chatting with it completely offline, and switching between different models depending on your hardware and use case. Whether you're a developer who wants full privacy, someone tired of paying for ChatGPT, or just curious about how local AI works, this tutorial will get you up and running fast. Timestamps 0:00 Intro – Why run AI offline? 0:45 What is Ollama? 1:30 Installing Ollama (Windows/Mac/Linux) 2:15 Downloading your first model 3:00 Running the model offline 4:00 Tips for choosing the right model for your PC 4:45 Final thoughts Links Mentioned Ollama official site: https://ollama.com Model library: https://ollama.com/library If this helped you, drop a like and subscribe for more AI tutorials, no fluff, just practical step-by-step guides. Follow me: Twitter/X: [your link] Instagram: [your link] Discord: [your link] #Ollama #LocalAI #AITutorial
Cursor + OmniRoute Setup Tutorial: Use FREE Open-Source AI Models in Cursor (2026 Guide)
Learn how to connect Cursor to OmniRoute, a free and open-source MIT-licensed AI gateway that routes your coding requests across 352+ providers — including 150+ free tiers worth roughly 1.51 billion free tokens per month — through a single OpenAI-compatible endpoint. In this 2026 tutorial, you'll install OmniRoute, run it locally on port 20128, and configure Cursor to use free models like Claude, GPT, Gemini, GLM, DeepSeek, Kimi K3, and MiniMax without hitting Cursor's paid credit limits. What you'll learn in this video: This tutorial walks through installing the OmniRoute npm package globally, launching the local API and dashboard on localhost:20128, and pointing Cursor's model settings at the OmniRoute endpoint so every AI request in Cursor is automatically routed to the best available free or low-cost model. You'll also see how OmniRoute's "auto" routing mode works, how the four-tier fallback system (Subscription → API Key → Cheap → Free) keeps you coding even when one provider's quota runs out, and how the built-in token compression engine can reduce eligible context by up to 89% so your free quota lasts longer. Timestamps: 00:00 Introduction — Why use OmniRoute with Cursor 00:00 What is OmniRoute (free open-source AI gateway explained) 00:00 Installing OmniRoute (npm install -g omniroute) 00:00 Running the OmniRoute dashboard on localhost:20128 00:00 Connecting Cursor to OmniRoute's OpenAI-compatible endpoint 00:00 Testing free models: Claude, GPT, Gemini, DeepSeek, GLM 00:00 Setting up Auto Combo routing and fallback tiers 00:00 Token compression and saving your free quota 00:00 Troubleshooting common connection issues 00:00 Final thoughts and next steps Frequently Asked Questions: Is OmniRoute really free? Yes — OmniRoute itself is free and open-source under the MIT license, and it catalogs over 150 free-tier provider entries so you can access AI models like Claude, GPT, Gemini, DeepSeek, and Kimi K3 without paying, though some premium providers behind OmniRoute may still require your own API key if you want to use paid tiers. Does OmniRoute work with Cursor specifically? Yes — OmniRoute exposes an OpenAI-compatible endpoint at localhost:20128/v1 that you can plug directly into Cursor's model configuration, alongside support for Claude Code, Codex CLI, Cline, GitHub Copilot, and other coding tools. Do I need an API key to start? No — OmniRoute works out of the box with zero configuration using its keyless "auto" model route, and you can add your own provider API keys later to unlock additional free tiers or paid models. Is my code or data sent to OmniRoute's servers? No — OmniRoute runs entirely locally on your machine with local-first, encrypted storage, so your prompts and credentials stay on your own computer. Resources mentioned in this video: OmniRoute GitHub repository: github.com/diegosouzapw/OmniRoute OmniRoute official site: omniroute.online Cursor: cursor.com If this tutorial helped you set up free AI models in Cursor, consider subscribing for more open-source AI tooling guides, and drop a comment if you hit any errors during setup — I'll help troubleshoot. #Cursor #OmniRoute #FreeAI #OpenSourceAI #AICodingTools #CursorAI #ClaudeAI #DeepSeek #AIforDevelopers #CodingTutorial2026
OmniRoute + OpenCode Setup 100% FREE Unlimited AI Coding (2026 Tutorial)
Learn how to set up OmniRoute inside OpenCode and unlock 100% free, unlimited AI coding — no credit card, no API key required to get started. In this step-by-step 2026 tutorial, I show you exactly how to install OmniRoute, connect it as a custom provider in OpenCode, and route your coding agent across 339+ AI providers (90+ with free tiers, 56 free forever) including Claude, GPT, Gemini, DeepSeek, Kimi, and GLM — all through a single OpenAI-compatible endpoint. OmniRoute is a free, open-source MIT-licensed AI gateway that sits between OpenCode and every major model provider. Instead of hitting rate limits or paying for expensive API keys, OmniRoute auto-fails over between providers in milliseconds, drains your free-tier quotas before touching paid ones, and even compresses tool output by up to 95% so your tokens go further. Once it's running locally on port 20128, you point OpenCode's provider config at it and every model on the OmniRoute catalog becomes available inside your terminal coding agent. What you'll learn in this video: how to install Node.js and npm if you don't already have them, how to install OpenCode and OmniRoute globally with a single npm command, how to start the OmniRoute server and open its local dashboard, how to connect free providers with zero configuration, how to edit your OpenCode config file (~/.config/opencode/opencode.json) to add OmniRoute as a custom provider using the @ai-sdk/openai-compatible adapter, and how to pick between model routes like auto, auto/coding, auto/fast, and auto/cheap depending on whether you want quality, speed, or cost savings. This setup works as a genuinely free alternative to paying for Claude Code, Cursor, GitHub Copilot, or standalone API keys from OpenAI, Anthropic, or Google — making it ideal for developers, students, and anyone experimenting with AI-assisted coding on a budget. Whether you searched for "omniroute opencode," "how to install omniroute," "omniroute setup," "free ai for coding," or "opencode alternative," this guide covers the full workflow from a blank terminal to a working AI coding agent. Timestamps: 0:00 Intro — why OmniRoute + OpenCode 0:00 Installing Node.js, npm, and OpenCode 0:00 Installing and starting OmniRoute 0:00 Connecting free AI providers (no credit card) 0:00 Editing the OpenCode config file 0:00 Choosing auto / auto-coding / auto-fast / auto-cheap models 0:00 Testing your free AI coding agent 0:00 Tips to avoid rate limits and maximize free tokens Links mentioned: OmniRoute: https://omniroute.online/ OmniRoute GitHub: https://github.com/diegosouzapw/OmniRoute OpenCode: https://opencode.ai/ If this helped you set up a completely free AI coding workflow, consider subscribing for more tutorials on OmniRoute, OpenCode, Claude Code, and other free AI developer tools. #OmniRoute #OpenCode #FreeAI #AICoding #ClaudeCode
Claude Desktop + OpenRouter Setup (Free Open Source Models)
Claude Desktop can run entirely on OpenRouter's free AI models — no Anthropic account, no subscription, no credit card. This is the complete 2026 setup using Gateway mode (third-party inference), plus the fix for the #1 problem: free models like Gemma 4 and Nemotron 3 not showing up in the model picker. ⚡ THE 60-SECOND VERSION 1. Get a free API key at openrouter.ai/keys (starts with sk-or-v1-) 2. Claude Desktop → Help → Troubleshooting → Enable Developer Mode 3. Developer → Configure Third-Party Inference 4. Inference provider: Gateway Gateway base URL: https://openrouter.ai/api Gateway API key: your sk-or-v1-... key Gateway auth scheme: bearer 5. Click "Apply locally" → FULLY quit Claude Desktop → reopen 6. Choose "Continue with Gateway" on the start screen 7. Add your free model IDs under Models (see 08:15 — this step is required) 🔧 WHY YOUR MODEL PICKER IS EMPTY Claude Desktop's auto-discovery only shows models whose IDs look like Claude models. Gemma, Nemotron and GPT-OSS get filtered out. You must list them explicitly in the Models section of the config window. Full walkthrough at 08:15. 💯 FREE OPENROUTER MODELS USED (August 2026) nvidia/nemotron-3-ultra-550b-a55b:free — 1M context, best all-round free model google/gemma-4-31b-it:free — 262K context, vision + tools openai/gpt-oss-20b:free — 131K context, fast and light poolside/laguna-s-2.1:free — 262K context, coding cohere/north-mini-code:free — 256K context, coding openrouter/free — auto-picks a free model for you 📊 FREE TIER LIMITS 20 requests per minute. Roughly 50 requests/day on a zero-balance account, rising to about 1,000/day once you've purchased $10 in credits at any point (credits don't expire). Verify current numbers at openrouter.ai/docs — these change. ⚠️ HONEST DISCLAIMER This gives you Claude Desktop's INTERFACE for free — not Claude Opus or Sonnet for free. Routing actual Claude models through OpenRouter costs normal API rates. Free models are capable but they are not Claude-tier. 🕐 CHAPTERS 00:00 What this actually gets you (and what it doesn't) 01:10 Why route Claude Desktop through OpenRouter 02:05 Creating your free OpenRouter API key 03:20 Enabling Developer Mode in Claude Desktop 04:15 Configure Third-Party Inference: the exact 4 fields 05:40 Apply locally + the full restart people skip 🔗 LINKS OpenRouter keys: https://openrouter.ai/keys Official Claude Desktop integration guide: https://openrouter.ai/docs/cookbook/coding-agents/claude-desktop-integration Anthropic gateway docs: https://claude.com/docs/third-party/claude-desktop/gateway Free models list: https://openrouter.ai/collections/free-models Written guide with copy-paste config: [your blog URL] #ClaudeDesktop #OpenRouter #FreeAI #AITools #claudeai Claude Desktop for FREE with OpenRouter (2026) — Full Setup + The Model Picker Fix
Codex + OmniRoute Setup = FREE Unlimited AI Tokens (Setup in 7 Minutes)
Stop burning credits in Codex CLI. In this video I connect OpenAI Codex to OmniRoute — a free, open-source, MIT-licensed local AI gateway that pools 290+ providers and 90+ free tiers behind one endpoint — and get it running end to end in about 7 minutes. OmniRoute runs on your own machine (localhost:20128), auto-falls back when a provider hits its quota, and stacks RTK + Caveman compression to cut token usage dramatically. Point Codex at one base URL and you get Claude, GPT, Gemini, Kimi, GLM, DeepSeek and hundreds more through a single config. ⚠️ Honest disclaimer: "unlimited" is shorthand for pooled free tiers (~1.4–1.5B tokens/month by OmniRoute's own pool-deduped count), not infinite tokens. Some providers restrict gateway use in their terms — check each provider's ToS before you route production work through it. This is an educational walkthrough of an open-source tool, not a way to bypass anyone's billing. ⏱️ CHAPTERS 00:00 — Why Codex eats your credits 00:45 — What OmniRoute actually is (290 providers, one endpoint) 01:30 — Install: npm i -g omniroute 02:20 — First run + the dashboard tour 03:10 — Connecting your first FREE providers 04:15 — Pointing Codex CLI at OmniRoute (config.toml) 05:20 — Testing it: model "auto" and auto-fallback in action 06:10 — Combos, routing strategies & token compression 06:50 — Costs, limits and what to watch out for 🔗 LINKS OmniRoute (GitHub): https://github.com/diegosouzapw/OmniRoute OmniRoute site: https://omniroute.online OpenAI Codex CLI: https://github.com/openai/codex 💬 Which provider combo are you running? Drop it in the comments — I'm collecting the best free-tier stacks for a follow-up video. 👍 Like + subscribe for more AI coding workflow videos. #Codex #OmniRoute #AICoding #OpenSource #developertools omniroute setup omniroute codex how to install omniroute codex omniroute codex unlimited omniroute how to setup omniroute install omniroute omniroute installation omniroute free unlimited codex omniroute install omniroute github setup omniroute omni route codex omniroute tutorial how to use omniroute how to use codex unlimited codex free unlimited omniroute combo omniroute combos omniroute + codex codex free codex codex with omniroute how to download omniroute how to use codex free onmiroute free ai how omniroute works omni route what is omniroute omniroute vs code codex token codex router use codex for free free codex omniroute config ominiroute como usar omniroute how to set up omniroute omni router
Claude Code + MiniMax M3: The 5-Line Config Nobody Explains
Claude Code doesn't care which model is behind the endpoint. In this video I point it at MiniMax M3 and cut my coding costs by ~90% — full config, verification steps, and the errors everyone hits on the first try. MiniMax M3 shipped June 1, 2026 and scores around 59% on SWE-Bench Pro with a 1M token context window, at roughly $0.23/M input and $0.96/M output tokens. I also cover OpenCode, which has built-in MiniMax-M3 support with zero config files. ⏱️ CHAPTERS 00:00 The $200/month problem 00:xx What MiniMax M3 actually scores 00:xx Getting your MiniMax API key 00:xx Method 1: ~/.claude/settings.json 00:xx The base URL trap (international vs China) 00:xx Why you MUST set the auto-compact window to 1,000,000 00:xx Method 2: environment variables (these override settings.json) 00:xx Method 3: OpenCode — zero config needed 00:xx Verifying with /status and /model 00:xx Anthropic-compatible vs OpenAI-compatible endpoints 00:xx Troubleshooting: auth errors, wrong region, context overflow 00:xx Where Claude still wins (honest limits) 00:xx Cost breakdown after 30 days 🔧 THE CONFIG (also in the pinned comment) File: ~/.claude/settings.json Base URL (international): https://api.minimax.io/anthropic Base URL (China): https://api.minimaxi.com/anthropic Model ID: MiniMax-M3 Set CLAUDE_CODE_AUTO_COMPACT_WINDOW to 1000000 🔗 LINKS MiniMax docs — https://platform.minimax.io/docs/token-plan/claude-code Other tools (Zed, Kilo, Droid, Xcode) — https://platform.minimax.io/docs/token-plan/other-tools OpenCode — https://opencode.ai/docs/models/ Claude Code setup — https://code.claude.com/docs/en/setup Pricing and tier names change often — check the platform before you subscribe. Verified as of the upload date. #claudecode #minimax #opencode claude code minimax setup, minimax m3 claude code, opencode minimax, anthropic base url minimax, claude code alternative model, claude code custom api, minimax coding plan, claude code cheaper, ai coding agent terminal, swe-bench pro
omniroute setup in claude desktop
OmniRoute is a free, open-source (MIT) local AI gateway that routes Claude Desktop, Claude Code, Cursor, Cline and other OpenAI-compatible tools to 200+ AI providers through a single endpoint at http://localhost:20128/v1. In this full tutorial I install it with npm, connect it to Claude Desktop as an MCP server, add free-tier provider keys, and set up auto-fallback so requests keep working when one provider hits its rate limit. Note: OmniRoute does not unlock paid Claude plans. It pools the documented free tiers that providers already offer, plus any API keys or subscriptions you already own. Free tiers have rate limits and providers change them often — check each provider's terms before relying on it. ⏱️ Timestamps 00:00 What OmniRoute actually is (and what it isn't) 00:00 Requirements: Node.js, npm, Claude Desktop 00:00 Install OmniRoute (npm i -g omniroute) 00:00 First request with zero config using the "auto" model 00:00 Connecting OmniRoute to Claude Desktop via MCP 00:00 Adding free provider keys in the dashboard 00:00 Routing strategies and auto-fallback explained 00:00 Token compression and cost savings 00:00 Troubleshooting common setup errors 00:00 Is it worth it? Honest verdict 🔗 Resources OmniRoute GitHub: https://github.com/diegosouzapw/OmniRoute OmniRoute site: https://omniroute.online/ Claude Desktop: https://claude.ai/download MCP docs: https://modelcontextprotocol.io ❓ Questions answered in this video What is OmniRoute and how does it work? How do I connect OmniRoute to Claude Desktop? Is OmniRoute free, and what are the limits? How does auto-fallback between AI providers work? OmniRoute vs OpenRouter vs LiteLLM — what's the difference? Can I self-host OmniRoute with Docker? 💬 Which provider combo are you running? Drop your setup in the comments. related keywords: omniroute setup omniroute claude omniroute omni route claude how to connect omniroute to claude omniroute claude code omniroute claude setup omni router setup omniroute claude desktop omni route claude omniroute how to setup omniroute how to install omniroute in claude how to install omniroute how to use omniroute omni route claude code omnirouter omniroute setup windows omniroute github omniroute claude code setup claude desktop free how to install omni route omniroute setup claude omniroute with claude ominiroute how to setup omni route github omniroute omni route tutorial omni route setup claude code omniroute omniroute codex claude omni route how to set up omniroute omniroute + claude nick ayala how to use omni route* how to download omniroute omni route with claude code how to use omniroute with claude claude desktop install omniroute omni route installation claude code + omniroute omniroute tutorial omni route opencode setup omniroute #OmniRoute #ClaudeDesktop #OpenSourceAI
Install & Setup Ollama Cloud on Windows 10/11 — Run Huge AI Models With No GPU
Learn how to install and set up Ollama Cloud AI models on Windows 10 and Windows 11 — step by step, no GPU required. In this full 2026 tutorial I show you how to download the Ollama Windows installer, create a free ollama.com account, sign in from the terminal with ollama signin, pull your first cloud model, and run large open models like Gemma 4, Qwen 3.5, DeepSeek V4 Flash, GLM 5.2, Kimi K3 and gpt-oss straight from your PC while the heavy compute runs in Ollama's cloud. Ollama Cloud lets you keep using the same local Ollama commands, tools and apps you already know, but offloads models that would never fit on a normal laptop. You'll also learn how to create an OLLAMA_API_KEY for direct API access, connect Ollama Cloud to Python and JavaScript, understand the Free / Pro / Max usage limits, check your usage, and switch back to local-only mode if you want everything offline. ⏱️ TIMESTAMPS 00:00 – What is Ollama Cloud (and why it matters on Windows) 01:05 – Ollama Cloud vs local models: what changes 02:10 – System requirements for Windows 10 / 11 03:00 – Downloading & installing OllamaSetup.exe (no admin rights needed) 05:20 – Creating your free ollama.com account 06:30 – Signing in with ollama signin 08:00 – Finding cloud models in the library (the cloud tag) 09:40 – Pulling and running your first cloud model 12:00 – Using the Ollama desktop app instead of the terminal 14:15 – Creating an API key & setting OLLAMA_API_KEY on Windows 17:00 – Calling Ollama Cloud from Python and JavaScript 20:10 – Free vs Pro vs Max: usage limits and concurrency 22:30 – Checking your usage and avoiding limit errors 24:00 – Switching to local-only mode (privacy) 25:30 – Troubleshooting common errors 27:00 – Final thoughts + what to watch next 🔗 LINKS Download Ollama: https://ollama.com/download Cloud models list: https://ollama.com/search?c=cloud Ollama Cloud docs: https://docs.ollama.com/cloud API keys: https://ollama.com/settings/keys Pricing & limits: https://ollama.com/pricing 💬 Which cloud model should I test next — Kimi K3 or DeepSeek V4 Pro? Tell me in the comments. 👍 If this helped, like and subscribe for more local AI and open-model tutorials. Note: Ollama retires older cloud models periodically, so check the docs page above for the current model list if a name in this video no longer works. #Ollama #OllamaCloud #LocalLLM #Windows11 #AITutorial