Kimi K2is open-source, low-cost, and strong in reasoning, coding, and multilingual tasks. GPT-4o is closed-source, much faster, great for English and multimodal (text, image, audio, video) needs, but costs about 4x more.
Kimi K2 is generally better for complex, customizable, and budget-sensitive AI agents. GPT-4o is best for real-time, English, and multimodal agents where speed and simplicity matter most.
Choosing the right model for your AI agent is crucial. Kimi K2 and GPT-4o are both top choices, but they have different strengths. This guide compares them to help you pick the best fit for your AI agent project.
GPT-4o is consistently faster than Kimi K2 in both output speed and response latency, across all tested input sizes. The difference is especially large in output speed per second. For very long input contexts (100k tokens), the time to first token gap narrows, but GPT-4o still leads.
Kimi K2 vs GPT-4o: Price
Kimi K2’s Price vs GPT-4o’s Price
GPT-4o is approximately four times more expensive than Kimi K2 Instruct.And Novita AI is the best provider of Kimi K2 !
Browse through the available options and select the model that suits your needs.
Step 3: Start Your Free Trial
Begin your free trial to explore the capabilities of the selected model.
Step 4: Get Your API Key
To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.
Step 5: Install the API
Install API using the package manager specific to your programming language.
After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.
Sign up for a Novita AI account to get started with free trial credits. Navigate to the Key Management page in your dashboard and click “Create New Key.”
Copy the generated API key immediately and store it securely – it won’t be displayed again. You’ll need this key for the configuration steps below.
2.Installing Claude Code
Before installing Claude Code, ensure your system meets the minimum requirements. Node.js 18 or higher must be installed on your local environment. You can verify your Node.js version by running node --version in your terminal.
For Windows
Open Command Prompt and execute the following commands:
The global installation ensures Claude Code is accessible from any directory on your system. The npx win-claude-code@latest command downloads and runs the latest Windows-specific version.
For Mac and Linux
Open Terminal and run:
npm install -g @anthropic-ai/claude-code
Mac users can proceed directly with the global installation without requiring additional platform-specific commands. The installation process automatically configures the necessary dependencies and PATH variables.
3.Setting Up Environment Variables
Environment variables configure Claude Code to use Kimi-K2 through Novita AI’s API endpoints. These variables tell Claude Code where to send requests and how to authenticate.
For Windows
Open Command Prompt and set the following environment variables:
set ANTHROPIC_BASE_URL=https://api.novita.ai/anthropic
set ANTHROPIC_AUTH_TOKEN=<Novita API Key>
set ANTHROPIC_MODEL=moonshotai/kimi-k2-instruct
set ANTHROPIC_SMALL_FAST_MODEL=moonshotai/kimi-k2-instruct
Replace <Novita API Key> with your actual API key obtained from the Novita AI platform. These variables remain active for the current session and must be reset if you close the Command Prompt.
For Mac and Linux
Open Terminal and export the following environment variables:
export ANTHROPIC_BASE_URL="https://api.novita.ai/anthropic"
export ANTHROPIC_AUTH_TOKEN="<Novita API Key>"
export ANTHROPIC_MODEL="moonshotai/kimi-k2-instruct"
export ANTHROPIC_SMALL_FAST_MODEL="moonshotai/kimi-k2-instruct"
4.Starting Claude Code
With installation and configuration complete, you can now start Claude Code in your project directory. Navigate to your desired project location using the cd command:
cd <your-project-directory>
claude .
The dot (.) parameter instructs Claude Code to operate in the current directory. Upon startup, you’ll see the Claude Code prompt appear in an interactive session.
This indicates the tool is ready to receive your instructions. The interface provides a clean, intuitive environment for natural language programming interactions.
5.Building Your First Project
Claude Code excels at transforming detailed project descriptions into functional applications. After entering your prompt, press Enter to begin the task. Claude Code will analyze your requirements, create the necessary files, implement the functionality, and provide a complete project structure with documentation.
Conclusion
Kimi K2 is the best choice for AI agents that need strong reasoning, complex tool use, lower price, and open-source flexibility. If your agent must handle complex tasks, multiple languages, or needs full control and customization, Kimi K2 is ideal.
GPT-4o is better when you need the fastest responses, multimodal capabilities, or easy integration—especially for English-based, real-time applications and if budget is not a main concern.
In summary:
Choose Kimi K2 for advanced, cost-effective, and customizable agents.
Choose GPT-4o for speed, multimodal tasks, and simple setup.
Frequently Asked Questions
When should I pick GPT-4o over Kimi K2?
Choose GPT-4o when you need speed, multimodal input (like images or audio), and English-focused tasks.
Does Kimi K2 or GPT-4o perform better for multilingual and complex tasks?
Kimi K2 generally performs better in reasoning, math, coding, and multilingual QA.
Is Kimi K2 or GPT-4o better for fast, real-time responses?
GPT-4o is better, as it is much faster in output and latency.
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