---
title: Kimi K2.5 — Visual Agentic AI Model | ModelsLab
description: Generate code from images, run parallel agent swarms, and handle complex visual tasks. Try Kimi K2.5's native multimodal capabilities.
url: https://modelslab.com/moonshotai-kimi-k25
canonical: https://modelslab.com/moonshotai-kimi-k25
type: website
component: Seo/ModelPage
generated_at: 2026-04-15T02:02:51.606450Z
---

Available now on ModelsLab · Language Model

MoonshotAI: Kimi K2.5
Vision meets autonomous agents
---

[Try MoonshotAI: Kimi K2.5](/models/open_router/moonshotai-kimi-k2.5) [API Documentation](https://docs.modelslab.com)

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](/models/open_router/moonshotai-kimi-k2.5).

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 ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

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

FAQ

Common questions about MoonshotAI: Kimi K2.5
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[Read the docs ](https://docs.modelslab.com)

### What makes Kimi K2.5 different from other multimodal models?

### How does Agent Swarm improve performance?

### Can Kimi K2.5 generate production-ready code from images?

### What is the context window and parameter count?

### What operational modes does K2.5 support?

### Is Kimi K2.5 open-source and available via API?

Ready to create?
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Start generating with MoonshotAI: Kimi K2.5 on ModelsLab.

[Try MoonshotAI: Kimi K2.5](/models/open_router/moonshotai-kimi-k2.5) [API Documentation](https://docs.modelslab.com)

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*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

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*Generated by ModelsLab - 2026-04-15*