---
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-frontend-v2-927501783998.us-east4.run.app/moonshotai-kimi-k25
canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/moonshotai-kimi-k25
type: website
component: Seo/ModelPage
generated_at: 2026-05-13T09:43:07.358571Z
---

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
---

[Read the docs ](https://docs.modelslab.com)

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

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.

### How does Agent Swarm improve performance?

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.

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

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.

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

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.

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

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.

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

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

---

*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)

---
*Generated by ModelsLab - 2026-05-13*