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Available now on ModelsLab · Language Model

MoonshotAI: Kimi K2.5Vision meets autonomous agents

Try MoonshotAI: Kimi K2.5API Documentation

Native multimodal agentic intelligence

Visual-to-code

Generate code from designs

Convert UI mockups, screenshots, and video walkthroughs into production-ready React or HTML code.

Parallel execution

Agent Swarm orchestration

Spin up 100 specialized sub-agents running 1,500 concurrent tool calls for 4.5x faster performance.

Efficient scaling

1T parameters, 32B active

Massive knowledge base with 96% reduced computation through Mixture-of-Experts architecture.

Examples

See what MoonshotAI: Kimi K2.5 can create

Copy any prompt below and try it yourself in the playground.

Website reconstruction

“Analyze this video walkthrough of a website and rebuild its complete HTML structure, CSS styling, and JavaScript functionality to match the original design exactly.”

UI debugging workflow

“Review this screenshot of a broken dashboard interface. Identify visual discrepancies, generate corrected code, render the output, compare it to the original, and iterate until pixel-perfect.”

Design system extraction

“Extract typography, color palette, spacing rules, and component patterns from these design mockups and generate a reusable React component library.”

Complex research task

“Research the top 5 competitors in the SaaS analytics space, gather their pricing models, feature comparisons, and market positioning using autonomous web search and visual analysis.”

For Developers

A few lines of code.
Vision to code. Parallel agents.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about MoonshotAI: Kimi K2.5

Read the docs

K2.5 is natively trained on 15 trillion mixed visual and text tokens, enabling seamless vision-language integration without bolted-on capabilities. Its Agent Swarm technology orchestrates up to 100 parallel sub-agents for complex task decomposition.

The orchestrator agent breaks complex requests into parallel subtasks, spinning up specialized sub-agents that run concurrently. This delivers 4.5x faster performance compared to sequential execution while handling up to 1,500 tool calls.

Yes. K2.5 converts UI designs, mockups, and video walkthroughs into production-ready React and HTML code. It can also autonomously debug visual output by comparing rendered code to original designs and iterating until pixel-perfect.

Kimi K2.5 has 1 trillion total parameters with 32 billion activated per request, a 256K token context window, and uses Mixture-of-Experts architecture for efficient scaling.

K2.5 offers Instant mode for fast responses, Thinking mode for extended reasoning, Agent mode for single-agent execution, and Agent Swarm mode for parallel multi-agent workflows.

Yes, K2.5 is open-source and available through multiple endpoints including NVIDIA NIM and Hugging Face. You can integrate it via API for production applications.

Ready to create?

Start generating with MoonshotAI: Kimi K2.5 on ModelsLab.

Try MoonshotAI: Kimi K2.5API Documentation