Run a 235B Parameter AI Model FOR FREE! (Qwen3 + Cline & Kilo Code Demo)

Shane | LLM Implementation · Intermediate ·🧠 Large Language Models ·9mo ago
Alibaba just dropped the powerful Qwen3-235B model, setting a new standard for open-source AI. Forget needing 8x H100 GPUs—in this video, I'll show you how to harness its power for FREE using incredible AI coding agents directly in your editor. In this video, you will learn: ✅ How the new Qwen3-235B model dominates benchmarks against Claude, Kimi, and others. 💻 The secret to getting FREE API access to this model using OpenRouter. 🤖 How to set up and use Qwen3 with AI coding agents (Cline & Kilo Code) in VS Code with live demos. 🔗 LINKS FROM THE VIDEO: ► Get Cline AI: [Link] ► Get Kilo Code (with $20 free credits): [Link] ► Get a Free API Key from OpenRouter: [Link] ► My Qwen3 Fine-Tuning Tutorial: [Link] 🕒 CHAPTERS: 0:00 - Alibaba's New SOTA Model: Qwen3-235B 0:53 - Benchmark Battle! Qwen3 vs. Claude & Kimi 1:32 - Full Benchmark Breakdown (Knowledge & Reasoning) 2:11 - Under the Hood: Qwen3's MoE Architecture 2:49 - The Hardware You Really Need (And How to Skip It) 4:11 - The Secret: Get FREE API Access with OpenRouter 5:06 - DEMO 1: Qwen3 as an AI Agent in VS Code with Cline 7:08 - DEMO 2: An Even More Powerful Agent: Kilo Code 9:38 - Paid Providers & Performance Metrics 10:04 - Is Qwen3 the New King of Open Source? This deep dive covers the new Qwen3-235B-A22B-Instruct-2507 model from Alibaba. We analyze its performance in knowledge, reasoning, and coding benchmarks, comparing it to other leading models. We then provide a practical guide to running this Mixture-of-Experts (MoE) model, discussing hardware requirements (NVIDIA H100, RTX 4090), costs, and more accessible solutions like Unsloth for fine-tuning. The core of the video is two live demonstrations showing you how to integrate Qwen3 into your VS Code workflow for free using the OpenRouter API with two open-source AI coding agents: Cline and Kilo Code. #Qwen3 #OpenSourceAI #LLM #AI #Coding #VSCode #ArtificialIntelligence #cline #kilo Thanks for watching! Don't forget to like, subscribe, and hit t
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

GPT-5.5 Tops Benchmarks, Costs 2x API Price, Still Hallucinates
Learn about GPT-5.5's benchmark-topping performance and its limitations, including higher hallucination rates and increased API costs
Dev.to AI
Why LLM Agents Fail: Four Mechanisms of Cognitive Decay and the Reasoning Harness Layer
Learn why LLM agents fail and how to address cognitive decay with the Reasoning Harness Layer
Dev.to · Frank Brsrk
Stop Drowning in Boilerplate: Why FastMCP is the Future of LLM Tooling
Learn how FastMCP simplifies LLM tooling and integration with internal systems, reducing boilerplate code and increasing efficiency
Medium · AI
Introduction to RAG for LLMs: Sparse (Lexical) RAG and Dense RAG (Semantic Vector Search)
Learn about RAG for LLMs, including Sparse (Lexical) RAG and Dense RAG (Semantic Vector Search), to improve your understanding of AI and machine learning
Dev.to · Jun Bae

Chapters (10)

Alibaba's New SOTA Model: Qwen3-235B
0:53 Benchmark Battle! Qwen3 vs. Claude & Kimi
1:32 Full Benchmark Breakdown (Knowledge & Reasoning)
2:11 Under the Hood: Qwen3's MoE Architecture
2:49 The Hardware You Really Need (And How to Skip It)
4:11 The Secret: Get FREE API Access with OpenRouter
5:06 DEMO 1: Qwen3 as an AI Agent in VS Code with Cline
7:08 DEMO 2: An Even More Powerful Agent: Kilo Code
9:38 Paid Providers & Performance Metrics
10:04 Is Qwen3 the New King of Open Source?
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →