Free Kimi 2.5 API — Free LLM API Access to MoonshotAI Kimi K2.5

Get free LLM API access to MoonshotAI Kimi K2.5, a powerful open-source AI model with advanced reasoning capabilities. This free AI API provides instant access to Kimi AI without infrastructure setup, GPU requirements, or complex configuration. Perfect for developers building AI-powered applications, automation workflows, and chatbots.

Key Features

• Free LLM API Access — No-cost access to Kimi K2.5 through NVIDIA endpoints
• Advanced Reasoning Mode — Enable thinking capabilities for complex problem-solving
• 16K Token Context — Large context window for detailed analysis and long documents
• Streaming Responses — Real-time token generation for interactive applications
• Zero Infrastructure — No servers, GPUs, or ML ops required
• Pay-Per-Event Pricing — Only pay for what you use with transparent pricing
• LangChain Integration — Built on LangChain for seamless AI workflow integration

What is Kimi K2.5?

MoonshotAI Kimi K2.5 is a state-of-the-art open-source large language model (LLM) that rivals commercial AI models like GPT-4 and Claude. With 16,384 token context window and native reasoning/thinking capabilities, Kimi K2.5 excels at:

• Code generation and programming assistance
• Complex reasoning and problem-solving
• Document analysis and summarization
• Creative writing and content creation
• Research and academic tasks
• AI chatbots and conversational agents

Use Cases

AI-Powered Development

• Code review and debugging — Get instant feedback on your code
• API documentation generation — Automatically create docs from code
• Programming tutorials — Generate step-by-step coding guides
• Algorithm explanations — Understand complex computer science concepts

Content Creation & Marketing

• Blog post generation — Create SEO-optimized articles
• Social media content — Generate engaging posts for Twitter, LinkedIn
• Email templates — Craft professional business communications
• Product descriptions — Write compelling marketing copy

Research & Analysis

• Document summarization — Extract key insights from long texts
• Data analysis — Interpret complex datasets with reasoning
• Academic research — Assist with literature reviews and analysis
• Market research — Analyze trends and generate reports

Automation & Workflows

• Chatbot development — Build intelligent conversational agents
• Customer support automation — Create AI-powered helpdesk solutions
• Workflow automation — Integrate AI into business processes
• Data extraction — Parse and structure unstructured text

Available Model

Model	Max Tokens	Reasoning	Best For
MoonshotAI Kimi K2.5	16,384	✅ Yes	General purpose, coding, reasoning, analysis

Input Parameters

Parameter	Type	Required	Default	Description
prompt	string	Yes	—	Your message or question to the AI
systemMessage	string	No	"You are a helpful AI assistant..."	Sets the AI's behavior and persona
temperature	number	No	1.0	Controls creativity (0.0 = focused, 2.0 = creative)
topP	number	No	1.0	Nucleus sampling for output diversity
maxTokens	integer	No	16384	Maximum response length
enableThinking	boolean	No	true	Enable reasoning mode for complex tasks

Parameter Guidelines

Temperature Settings:

• 0.1 - 0.3 — Precise, deterministic responses (best for coding, facts)
• 0.7 - 1.0 — Balanced creativity and coherence (general purpose)
• 1.2 - 2.0 — Highly creative, exploratory responses (brainstorming, creative writing)

Max Tokens:

• 256 - 512 — Short answers, tweets, brief summaries
• 1024 - 2048 — Medium responses, blog paragraphs, explanations
• 4096 - 16384 — Long-form content, detailed analysis, code generation

Output

The Actor returns a structured JSON response:

{
  "prompt": "Explain quantum computing in simple terms",
  "response": "Quantum computing is a type of computing that uses quantum mechanics principles...",
  "reasoningContent": "Let me break this down step by step. First, I need to explain what makes quantum computers different from regular computers...",
  "model": "moonshotai/kimi-k2.5",
  "timestamp": "2026-01-27T13:30:00+00:00"
}

Output Schema Views

Results are automatically organized in multiple formats:

View	Description	Best For
Dataset Results	All responses in structured format	Data export, analysis, bulk processing
Overview	Summary table of all interactions	Quick review, monitoring
Detailed View	Full responses with reasoning	Debugging, understanding AI decisions
Output Data	Single JSON object	API integration, automation

Usage Examples

Basic Query

{
  "prompt": "What are the benefits of renewable energy?"
}

Programming Help

{
  "prompt": "Write a Python function to calculate the Fibonacci sequence",
  "systemMessage": "You are an expert Python programmer. Provide clean, well-documented code with explanations.",
  "temperature": 0.3
}

Creative Writing

{
  "prompt": "Write a short story about a robot learning to paint",
  "temperature": 1.2,
  "maxTokens": 2048
}

Complex Reasoning

{
  "prompt": "Analyze the pros and cons of remote work for tech companies",
  "enableThinking": true,
  "systemMessage": "You are a business analyst. Provide structured, balanced analysis."
}

Cost & Pricing

This Actor uses Pay-Per-Event (PPE) pricing:

Event	Price	Description
Actor Start	$0.00005	Charged when the Actor begins running
LLM Request	$0.01	Charged per API call to the LLM

Example Costs:

• 100 requests: ~$1.00
• 1,000 requests: ~$10.00
• 10,000 requests: ~$100.00

Note: Pricing covers platform costs and API usage. No hidden fees or subscriptions.

Integration Options

LangChain Integration

from langchain_nvidia_ai_endpoints import ChatNVIDIA

client = ChatNVIDIA(
    model="moonshotai/kimi-k2.5",
    api_key="your-api-key",
    temperature=1,
    max_tokens=16384
)

response = client.invoke([{"role": "user", "content": "Hello!"}])

API Integration

Call the Actor programmatically via Apify API:

curl -X POST https://api.apify.com/v2/acts/free-kimi-2-5-api/runs \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Your question here"
  }'

Webhook Integration

Set up webhooks to automatically process results:

{
  "prompt": "Analyze this data",
  "webhook": "https://your-app.com/webhook"
}

Local Development

Prerequisites

• Python 3.11+
• pip package manager
• Apify CLI (npm install -g apify-cli)

Installation

# Clone the repository
git clone <repository-url>
cd free-kimi-2-5-api

# Install dependencies
pip install -r requirements.txt

# Run locally
apify run

Testing

Create a test input file:

{
  "prompt": "Test message",
  "temperature": 0.7
}

Run with test input:

$apify run --input-file=test-input.json

Schema Configuration

This Actor implements Apify's schema system for structured output:

Dataset Schema

• Specification Version: 1
• Fields: prompt, response, reasoningContent, model, timestamp
• Views: Overview (tabular), Detail (with reasoning)

Key-Value Store Schema

• Schema Version: 1
• Collections: Responses, Configs, Output

Output Schema

• Schema Version: 1
• Templates: Dataset links, KV store access, API endpoints

Troubleshooting

Common Issues

"Failed to generate response"

• Check your prompt is not empty
• Verify maxTokens is within valid range (1-32768)
• Try reducing temperature if responses seem off

Empty or truncated responses

• Increase maxTokens parameter
• Check if prompt fits within context window
• Enable thinking mode for better reasoning

Slow response times

• Reduce maxTokens for faster generation
• Disable thinking mode if not needed
• Check your internet connection

Getting Help

• Apify Documentation: https://docs.apify.com
• LangChain Docs: https://python.langchain.com
• NVIDIA API Docs: https://docs.api.nvidia.com
• Report Issues: Use the Issues tab in Apify Console

Best Practices

For Best Results

1. Use clear, specific prompts — The more context you provide, the better the response
2. Adjust temperature based on task — Lower for facts, higher for creativity
3. Enable thinking for complex tasks — Helps with reasoning and step-by-step problems
4. Use system messages — Guide the AI's behavior for consistent results
5. Start with lower maxTokens — Increase if you need longer responses

Rate Limits & Usage

• Respect spending limits set in your Apify account
• Monitor your usage in the Apify Console
• Use batch processing for multiple requests
• Implement caching for repeated queries

Changelog

v0.1.1

• Added proper output schema with multiple view templates
• Fixed dataset schema with actorSpecification version 1
• Fixed key-value store schema with proper collections
• Added schema views: Overview and Detail for dataset
• Added collections: responses, configs, and output for key-value store
• Updated actor.json to reference all schema files correctly

v0.1.0

• Initial release
• Support for MoonshotAI Kimi K2.5 model
• Thinking/reasoning mode support
• Streaming responses
• Configurable generation parameters
• Pay-per-event monetization

License

MIT License — feel free to use and modify as needed.

Support & Resources

• Apify Discord: https://discord.com/invite/jyEM2PRvMU
• Developer Forum: https://community.apify.com
• Apify Support: https://support.apify.com
• Actor Page: https://apify.com/free-kimi-2-5-api

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