Claude Killer? My review on Kimi K2 after hrs of testing...

Introduction and Overview 00:00

  • The Kimi K2 model was integrated into Cloud Code and used to create a high-quality UI component library, an online IDE UI, and a fully functional Mario-like game at a significantly reduced cost.
  • Kimi K2 stands out among new models, particularly for AI coding, offering impressive capabilities.

Limitations and Costs of Existing Models 00:27

  • Claude 4 from Anthropic is noted as the best model for AI coding but is very expensive.
  • Platforms using expensive models like Claude 4 struggle to make a profit if users are highly active.
  • The release of Kimi K2 could disrupt this landscape due to its cost advantage.

Introduction to Kimi K2 and Pricing Comparison 01:02

  • Kimi K2 is a new open-source model from Moonshot, a Chinese AI company.
  • Pricing is much more competitive: Claude 4 charges $3 per million input tokens and $15 for output tokens, compared to Kimi K2's $0.60 per million input and $2.50 for output tokens.
  • Switching to Kimi K2 can reduce costs by about 80% while maintaining performance between Claude 3.5 and Claude 4.

How to Try and Use Kimi K2 01:43

  • Kimi K2 can be tested directly via kimi.com or more flexibly through its API endpoint.
  • The API setup is simple, requiring just a change in the base URL and use of an API key generated at platform.moonshot.ai.
  • Users are advised to top up a small amount (e.g., $10) due to the model’s low pricing.

Integrating Kimi K2 in Cloud Code and Experimentation 02:19

  • Integration into Cloud Code leverages both coding and agentic capabilities.
  • Setting the environment variables for the API key and base URL enables Cloud Code to use Kimi K2, although response times may be slower compared to Anthropic’s APIs.
  • Multiple experiments were performed:
    • UI component creation for a file explorer and homepage.
    • Game development for a simple Mario-style game.
    • Additional UI requests for features like a rich text editor.

Performance and Output Evaluation 04:04

  • Quick troubleshooting allowed the generated UI to run with minimal errors.
  • Kimi K2 successfully created a functional Mario game and a rich text editor component.
  • Both UI and game outputs appeared impressive and fully functional, with advanced features like style selection and link insertion.

Cost Analysis of Generated Projects 05:03

  • The total API cost for building both the UI components and the Mario game was under $0.10.
  • Building similar projects with Claude 4 would have cost at least $0.50 to $0.60 for smaller projects, and around $2 for larger builds.
  • Further tests with additional feature prompts showed continued low costs and solid performance.

Use Cases and Community Engagement 06:19

  • Kimi K2 is well-suited for building AI coding agents at manageable costs (up to 80% savings).
  • Users are invited to comment for a tutorial on using Kimi K2 with Cloud Code SDK.
  • An upcoming AI builder community call is mentioned for best practices and further integration strategies with Kimi K2.

Conclusion and Closing Remarks 06:55

  • The video emphasizes the remarkable cost savings and solid performance of Kimi K2 for developer use cases.
  • Viewers are encouraged to explore Kimi K2 and participate in the community for additional guidance and support.