Qwen3 is a fantastic open-source model

About this Video

• Video Title: Qwen-3 is a fantastic open-source model
• Channel: Matthew Berman
• Speakers: Matthew Berman
• Duration: 00:14:05

Introduction

This video reviews the Qwen-3 large language model (LLM), highlighting its open-source nature, benchmark performance compared to competitors like Gemini 2.5 Pro and Llama 4, and unique hybrid thinking/non-thinking mode. The presenter emphasizes Qwen-3's capabilities in coding and its efficient use of resources.

Key Takeaways

• Exceptional Benchmark Performance: Qwen-3 demonstrates competitive performance against leading LLMs like Gemini 2.5 Pro and Llama 4 across various benchmarks, often exceeding them in specific tasks.
• Hybrid Thinking Mode: Qwen-3 offers a unique "hybrid thinking" mode, allowing users to control the model's reasoning depth and response speed. This adaptability makes it suitable for diverse tasks ranging from complex problem-solving to quick, simple queries.
• Open-Source and Accessible: The model is completely open-source, with weights available, making it accessible for researchers and developers. Multiple versions are available, ranging in size from 600 million to 235 billion parameters.
• Efficient Resource Utilization: Smaller Qwen-3 models, particularly the 30B parameter model, demonstrate impressive speed and performance, even on relatively modest hardware.
• Tool Calling Capability: Qwen-3 excels at tool calling, allowing it to seamlessly integrate with external tools (like those available through Zapier's MCP service) to perform complex tasks involving code execution and file manipulation.