Post Content
In this video, I compare the performance of two leading open weight AI models, Qwen3’s latest non-reasoning model and KIMI K2, along with a few proprietary models, using the same set of prompts. We look at various benchmarks and real-world tasks, such as website creation, coding, physics simulation, and maze-solving, to see which model performs better. The results are surprising and insightful, especially in terms of reasoning capabilities and benchmark performance. Join me as we dive deep into this AI model showdown!
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Let’s Connect:
🦾 Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Patreon: https://www.patreon.com/PromptEngineering
💼Consulting: https://calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: http://tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Qwen3 vs KIMI K2: AI Model Showdown
00:00 Overview of Qwen3 and Kimi K2
00:54 Qwen3’s Non-Reasoning Capabilities
02:15 Coding Benchmarks and Comparisons
03:35 Complex Task Performance
06:46 Maze Solving and Reasoning Tests
10:34 Final Thoughts on the models Read More Prompt Engineering
#AI #promptengineering
