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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'moonshot/kimi-k2-preview',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="moonshot/kimi-k2-preview",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
Moonshot AI's Kimi K2 is a next-generation Chinese large language model powered by an open trillion-parameter architecture. It is expertly optimized for exceptional versatility, seamless real-world tool integration, and robust multilingual interaction capabilities.
Boasting a powerful 131K-token context window and direct integration of tool learning into its training pipeline across numerous synthetic and real environments, Kimi K2 truly excels in tasks demanding dynamic, agentic behaviors and automated workflows.
⚿ Technical Specifications
Performance Benchmarks
Kimi K2 is a state-of-the-art, open-source, agentic LLM—engineered for superior scale, blazing speed, and practical real-world tool utilization.
- 📜 Context Window: 131K tokens
- 📈 Performance Metrics: LiveCodeBench: 53.7%, MATH 500: 97%+ (approaching GPT-4.1 levels)
Performance Metrics Insights
Kimi K2 demonstrates remarkable adaptability across diverse scenarios while consistently maintaining stability in repeatable conditions. The observed upward performance trend signifies improved efficiency in tackling complex tasks.
API Pricing
- 💰 Input: $0.1575 per million tokens
- 💰 Output: $2.625 per million tokens
💡 Key Capabilities
- 🔧 Tool Use Mastery: Trained extensively in hundreds of environments with both synthetic and real-world tools, enabling robust, adaptive tool calling and automation.
- ⚙ Standardized APIs: Supports ToolCalls, JSON Mode, Partial Mode, and includes built-in web search functionality for enhanced automation and interoperability.
- 💰 Cost Efficiency: Offers competitive pricing for both inference and tool-assisted tasks, providing excellent value.
🚀 Optimal Use Cases
- ⚙ Tool Automation: Ideal for streamlining workflows that demand dynamic integration of external APIs, data services, and automated actions.
- 🏢 Enterprise Automation: Excels in complex business processes where AI agents must interact seamlessly with diverse digital tools and environments.
- 🌐 Multilingual Applications: Perfect for cross-cultural, multilingual scenarios requiring high context retention and nuanced understanding across languages.
- 🔍 R&D Prototyping: Enables rapid experimentation and development with AI agents in both simulated and real-world tool environments.
📊 Comparison with Other Leading Models
➡ Vs. Gemini 2.5 Flash: Kimi K2 demonstrates superior performance in structured programming and tool-driven workflow benchmarks, achieving 65.8% on SWE-bench and 53.7% on LiveCodeBench, compared to Gemini's 63.8%. This makes Kimi K2 a stronger choice for tasks requiring coding accuracy and complex automation.
➡ Vs. GPT-4.1: While Kimi K2's LiveCodeBench score of 53.7% is highly competitive, GPT-4.1 remains a leading general-purpose model. However, Kimi K2 serves as a robust open alternative, particularly for users prioritizing coding precision and the flexibility of an open-source solution in production environments.
➡ Vs. Claude 4 Sonnet: Kimi K2 excels over Claude 4 Sonnet in zero-shot code generation and agentic, tool-use scenarios. It offers higher coding fidelity and deeper integration capabilities for real-world automation needs.
❌ Limitations
- 🛇 No Fine-Tuning Support: The current API offering does not support model fine-tuning for end users.
- 📝 Limited to Text-Based Tasks: The model is optimized exclusively for text generation, coding, and reasoning. It is not designed for audio, vision, or multimodal workflows.
- 💻 Open-Source Considerations: While open-source offers significant flexibility, it generally requires more technical expertise for deployment and customization compared to fully managed cloud APIs.
🔗 API Integration
Kimi K2 is readily accessible via the AI/ML API. Comprehensive documentation is available here.
📜 Frequently Asked Questions (FAQ)
Q: What is Kimi K2 and what makes it unique in the AI assistant landscape?
A: Kimi K2 is Moonshot AI's advanced conversational assistant, distinguished by its exceptional long-context handling capabilities and sophisticated reasoning skills. Its uniqueness lies in processing extremely long documents (up to 131K tokens) while maintaining coherent conversations and providing detailed, well-reasoned responses.
Q: What are Kimi K2's standout capabilities compared to other AI assistants?
A: Kimi K2's standout capabilities include unparalleled long-context processing for massive documents, excellent multi-step reasoning and problem-solving, strong performance in technical and analytical tasks, and sophisticated conversation memory across extended dialogues. It particularly excels at digesting and synthesizing information from lengthy research papers, legal documents, and complex technical materials.
Q: How does Kimi K2's long-context capability benefit practical applications?
A: The long-context capability enables comprehensive analysis of lengthy legal contracts and research papers, detailed code review across entire codebases, thorough document comparison and synthesis, and extended conversational memory for complex projects. This makes it invaluable for academics, researchers, legal professionals, and developers working with extensive documentation.
Q: What types of tasks and queries is Kimi K2 particularly well-suited for?
A: Kimi K2 excels at academic research and literature review, legal document analysis and summarization, technical documentation comprehension, complex data analysis and interpretation, extended creative writing projects, and any task requiring deep understanding of lengthy or multiple interconnected documents.
Q: How can users maximize Kimi K2's capabilities in their workflows?
A: Users can maximize capabilities by uploading complete documents for comprehensive analysis, engaging in extended conversations with detailed context, asking multi-part questions that build on previous exchanges, and leveraging its memory for long-term project support. The key is providing sufficient context and taking advantage of its exceptional document processing capacity.
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