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Kimi K2 Just Got a BIG Update - Fully Tested: Does this AI model beat Qwen 3 and Claude 4!?

#AI Tools
2025-09-28 20:218 min read

Content Introduction
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In this video, the presenter discusses the latest updates on the AI model Kimik, highlighting its enhanced capabilities, which now include 262,000 context tokens, significantly improving performance on coding and agentic tasks compared to its previous version. It will cost $0.60 per million input tokens and $250 per million output tokens. The performance is contrasted with other models like Claude 4, which offers lower costs for token usage but with slightly lesser functionality. The video showcases the process of creating a Ruby cube simulator using 3.js and evaluating the model's performance in real-time, revealing mixed results and performance issues, especially in terms of animation and task execution. The presenter reflects on the superiority of various models and ends by inviting viewers to engage with questions and comments.

Key Information

  • Kimik has been updated, increasing its context from 128,000 to 262,000.
  • The new version provides improved performance for coding and agentic tasks.
  • Kimik now costs $0.60 per million input tokens and $250 per million output tokens.
  • It competes with other models like Claude 3 and GLM 4.5, which have different pricing and context capabilities.
  • The speaker plans to test Kimik 2’s performance by creating a Ruby cube simulator project using 3.js.
  • The speaker found that Kimik 2's initial attempts at creating the simulator did not meet expectations, particularly in terms of animations and visual output.
  • After failing the first test, the speaker encouraged testing Kilo code's capabilities and how it integrates with Kimik 2.
  • The performance can depend on both Kilo code and Kimik.
  • The speaker's experience with Claude 4 shows more advanced capabilities, including direct testing capability within the client's browser.

Timeline Analysis

Content Keywords

Kimik Update

Kimik has received an update, increasing its context capacity from 128,000 to 262,000, leading to significant improvements in coding performance and agentic tasks. This version costs $0.60 per million input tokens and $250 for output tokens.

Kimik vs. Claude Model

The speaker compares Kimik with Claude models, noting that the new Kimik model could challenge Claude 3 and claims it offers better performance, although pricing is higher compared to other models.

Performance Comparison

The speaker mentions not comparing Kimik's performance against Claude 4 or other models directly, citing differences in context capacity and cost-effectiveness.

Coding Task Evaluation

The video showcases a Ruby cube simulator project, prompting the viewer to understand how well Kimik 2 performs coding tasks compared to previous versions and other AI models.

Kilo Code Installation

Instructions for setting up Kilo code in a coding environment are provided, emphasizing its ease of integration with various AI providers and capabilities for testing code.

AI Model Testing

Details on testing the performance of different AI models, including Kimik and Claude, are presented, highlighting issues and successes with various coding tasks.

3D Rubik's Cube Simulator

The video discusses the development and testing of a 3D Rubik's cube simulator project using the Kimik model, focusing on the functionality of solving and scrambling features.

Game Simulation

Demonstrates how the AI systems handle tasks such as creating a chess game, evaluating performance based on code output and user interaction.

Error Handling

The speaker addresses various errors encountered while executing AI tasks and discusses potential solutions and troubleshooting strategies.

Kimik vs. Claude Sonet 4

The speaker expresses their opinion that Claude Sonet 4 is superior in certain aspects, highlighting differences in performance capabilities and task handling.

Related questions&answers

What is the new context size of Kimik?

The new model of Kimik has a context size of 262,000.

How does the performance of the new model compare to the previous one?

The previous model had a context size of 128,000 and is expected to perform worse than the new one.

What are the costs associated with Kimik?

Kimik costs $0.60 per million input tokens and $250 per million output tokens.

How does Kimik's pricing compare to other models?

The models such as GLM4.5 and Quen 3 have different pricing and capabilities, with GLM4.5 being cheaper than Kimik.

Can Kimik accept images?

No, Kimik cannot accept images.

What is the main focus of the tasks being performed in the video?

The tasks are primarily focused on coding tasks, like creating a Ruby cube simulator and testing various AI models.

What issues did the Kimik model encounter during testing?

The model encountered issues with animations and did not perform well in generating the expected results.

What are some of the key differences between Kimik and other models?

Kimik has a context size of 262,000, while other models like Claude Sonet 4 offer different features like image support and caching.

What was the first coding task attempted?

The first coding task attempted was creating a Ruby cube simulator.

How does Kimik prioritize tasks versus other models?

Kimik starts writing code on its own for the tasks set compared to other models like Quen 3 which may require more guidance.

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