# Tencent: Hy3 — Use via Hanzo AI API

> Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic work... Access via Hanzo's OpenAI-compatible API. Context: 262K. Get started free.

[Models](https://hanzo.ai/models)/[Tencent](https://hanzo.ai/models/tencent)/hy3

# Tencent: Hy3

[Tencent](https://hanzo.ai/models/tencent)

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

text

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## Specifications

Context Window

262K

Modalities

text

Input

$0.158 / M tokens

Output

$0.634 / M tokens

Status

available

Category

third-party

Model ID

tencent/hy3

## 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: 'tencent/hy3', 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="tencent/hy3", 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": "tencent/hy3", "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: "tencent/hy3", Messages: []openai.ChatCompletionMessage{ {Role: openai.ChatMessageRoleUser, Content: "Hello!"}, }, }, ) fmt.Println(resp.Choices[0].Message.Content) }
```

## More from Tencent

[Tencent: Hunyuan A13B Instruct131KHunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...](https://hanzo.ai/models/tencent/hunyuan-a13b-instruct)[Tencent: Hy-MT2-1.8B8KHy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...](https://hanzo.ai/models/tencent/hy-mt2-1.8b)[Tencent: Hy-MT2-30B-A3B8KHy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and...](https://hanzo.ai/models/tencent/hy-mt2-30b-a3b)[Tencent: Hy3 preview262KHy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...](https://hanzo.ai/models/tencent/hy3-preview)

[View all Tencent models →](https://hanzo.ai/models/tencent)

## Use Tencent: Hy3 via Hanzo AI

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