How to use the #1 open source model Kimiko K-3 step by step

TL;DR

The video tests the Kimiko K-3 open source model against Claude and Fable using Chimera Code for setup. It walks through installing Chimera Code, logging in, and comparing performance, price, and benchmarks. Front end design tests show Kimiko and Claude performing well, while Codex lags, with Chimera offering a cheaper starting plan.

Transcript

Major sign that the US may be losing its AI advantage to China. >> China is beginning to engage in what I'll call AI dumping. About a third of corporations are supposedly using Chinese lightweight open-weight models that [music] are cheaper. If I were she, I would just dump cheap AI into the US market. I think the US market crashes and we're immedi... Read More

Key Insights

• Kimiko free is positioned as a top open source model that rivals Claude and Fable in benchmarks.
• Chimera-3 is highlighted as a nearly 3 trillion parameter open source model, illustrating the scale of open source options.
• Chimera Code is used to run tests, login, and manage environments across models.
• Pricing is discussed with Claude Pro at 20 per month and Chimera starting at 15 per month, suggesting cost advantages for Chimera.
• Benchmarks don’t tell the full story, so direct tests are used to verify model capabilities.
• The video performs practical tests including Pac-Man prompt engineering and front-end website design prompts.
• Kimiko and Claude delivered strong, usable results in front-end design with clean, professional outputs.
• Codex performed worse in some tests, showing slower frames and more bugs.

Questions & Answers

Q: What is Kimiko K-3 and why is it significant in open source AI?

Kimiko K-3 is presented as a leading open source model in the video, competing with established players like Claude and Fable in benchmarks. The host demonstrates how Kimiko can be accessed, configured, and tested using Chimera Code, emphasizing its potential to reduce reliance on proprietary systems while maintaining high performance in practical tasks.

Q: How do you set up Chimera Code to test models, and what is shown in the setup?

The setup involves searching for Chimera Code, installing it, restarting the terminal, and logging in with a Chimera account. After login, the user can switch models, confirm login status, and create separate folders for Kimiko, Claude, and Codex to organize tests. This workflow demonstrates a repeatable process to compare multiple models.

Q: What pricing comparisons are discussed and what do they imply for users?

Pricing is discussed with Claude Pro at 20 per month and a general note that Codex also costs around 20 per month, while Chimera starts at 15 per month. The implication for users is that Chimera may offer a more affordable option for consistent usage without sacrificing testing breadth, making open source tools more accessible.

Q: How do the models perform in the Pac-Man prompt test, and what conclusions are drawn?

In the Pac-Man prompt test, Kimiko and Claude deliver fully functioning games with better performance and fewer bugs, while Codex shows poorer performance with lag and collisions. The conclusion is that Kimiko and Claude outperform Codex in this particular task, highlighting the variability of model strengths across domains.

Q: What front-end design results are shown and which models excel?

The video shows three websites generated by Kimiko, Claude, and Codex. Kimiko produces a clean, high-converting dental website, Claude also delivers a strong site with good visuals and a conversion-focused layout, while Codex lags in speed and frame quality. The takeaway is that Kimiko and Claude excel in front-end design tasks.

Q: What are the key takeaways about benchmarking versus real-world testing?

Benchmarks alone may not reveal true capability, so the video emphasizes real-world tests like building Pac-Man games and Next.js front-end projects to gauge practical performance. This approach provides a more comprehensive view of model usefulness for developers beyond abstract benchmark scores.

Q: What is the overall message about open source models versus proprietary options?

The video argues that open source models like Kimiko K-3 are closing the gap with proprietary models such as Claude and Fable, as demonstrated by benchmarks and hands-on tests. It also presents a cost-effective path via Chimera that enables broader experimentation without significant monthly licensing fees.

Q: How does the host describe his experience and goals for teaching AI usage?

The host, Albert, shares that he learned to use AI to build two million-dollar companies and now teaches AI education for free. His goal is to show practical ways to install and use Kimiko K-3, enabling non-technical users to leverage open source AI effectively while growing a community of AI entrepreneurs.

Summary & Key Takeaways

• Kimiko K-3 is explored as a leading open source model with benchmark attention and practical testing to verify real world performance.

• The creator demonstrates how to install Chimera Code and run model comparisons across Kimiko, Claude, and Codex, including setup, prompts, and evaluation criteria.

• Front end design trials show Kimiko delivering clean, high converting websites, with Claude Code also strong while Codex lags in graphics and speed.