# OpenRouter: Fusion — Use via Hanzo AI API

> Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with w... Access via Hanzo's OpenAI-compatible API. Context: 1M. Get started free.

[Models](https://hanzo.ai/models)/[OpenRouter](https://hanzo.ai/models/openrouter)/fusion

# OpenRouter: Fusion

[OpenRouter](https://hanzo.ai/models/openrouter)

Fusion turns your prompt into a small multi-model deliberation. A panel of expert models (see below) analyzes your prompt in parallel with web search and web fetch enabled, then a...

text

[Get API Key](https://hanzo.ai/signup)[View Docs](https://docs.hanzo.ai)[Try in Chat](https://hanzo.ai/chat)

## Specifications

Context Window

1M

Modalities

text

Input

$-1200000.000 / M tokens

Output

$-1200000.000 / M tokens

Status

available

Category

third-party

Model ID

openrouter/fusion

## Quick Start

TypeScript

```
import OpenAI from 'openai' const client = new OpenAI({ apiKey: process.env.HANZO_API_KEY, baseURL: 'https://api.hanzo.ai/v1' }) const response = await client.chat.completions.create({ model: 'openrouter/fusion', messages: [{ role: 'user', content: 'Hello!' }] }) console.log(response.choices[0].message.content)
```

Python

```
from openai import OpenAI client = OpenAI( api_key=os.environ["HANZO_API_KEY"], base_url="https://api.hanzo.ai/v1" ) response = client.chat.completions.create( model="openrouter/fusion", messages=[{"role": "user", "content": "Hello!"}] ) print(response.choices[0].message.content)
```

cURL

```
curl https://api.hanzo.ai/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $HANZO_API_KEY" \ -d '{ "model": "openrouter/fusion", "messages": [{"role": "user", "content": "Hello!"}] }'
```

Go

```
package main import ( "context" "fmt" "os" "github.com/sashabaranov/go-openai" ) func main() { cfg := openai.DefaultConfig(os.Getenv("HANZO_API_KEY")) cfg.BaseURL = "https://api.hanzo.ai/v1" client := openai.NewClientWithConfig(cfg) resp, _ := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{ Model: "openrouter/fusion", Messages: []openai.ChatCompletionMessage{ {Role: openai.ChatMessageRoleUser, Content: "Hello!"}, }, }, ) fmt.Println(resp.Choices[0].Message.Content) }
```

## More from OpenRouter

[Auto Router2MYour prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used,...](https://hanzo.ai/models/openrouter/auto)[Auto Router (Beta)2MAuto Router (Beta) is a task-aware router from OpenRouter. It classifies each request, then routes it the most popular model for that task based on aggregate spend, filtered by your...](https://hanzo.ai/models/openrouter/auto-beta)[Body Builder (beta)128KTransform your natural language requests into structured OpenRouter API request objects. Describe what you want to accomplish with AI models, and Body Builder will construct the appropriate API calls. Example:...](https://hanzo.ai/models/openrouter/bodybuilder)[Free Models Router200KThe simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...](https://hanzo.ai/models/openrouter/free)[Pareto Code Router2MThe Pareto Router maintains a tiered shortlist of strong coding models, ranked by Artificial Analysis coding percentiles. Set min_coding_score between 0 and 1 on the pareto-router plugin to control how...](https://hanzo.ai/models/openrouter/pareto-code)

[View all OpenRouter models →](https://hanzo.ai/models/openrouter)

## Use OpenRouter: Fusion via Hanzo AI

One API key. Every major model. OpenAI-compatible. Start free.

[Get Free API Key](https://hanzo.ai/signup)[Browse All Models](https://hanzo.ai/models)