# Meta: Llama 3.2 3B Instruct — Use via Hanzo AI API

> Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialo... Access via Hanzo's OpenAI-compatible API. Context: 131K. Get started free.

[Models](https://hanzo.ai/models)/[Meta](https://hanzo.ai/models/meta-llama)/llama-3.2-3b-instruct

# Meta: Llama 3.2 3B Instruct

[Meta](https://hanzo.ai/models/meta-llama)

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

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## Specifications

Context Window

131K

Modalities

text

Input

$0.060 / M tokens

Output

$0.396 / M tokens

Status

available

Category

third-party

Model ID

meta-llama/llama-3.2-3b-instruct

## 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: 'meta-llama/llama-3.2-3b-instruct', 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="meta-llama/llama-3.2-3b-instruct", 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": "meta-llama/llama-3.2-3b-instruct", "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: "meta-llama/llama-3.2-3b-instruct", Messages: []openai.ChatCompletionMessage{ {Role: openai.ChatMessageRoleUser, Content: "Hello!"}, }, }, ) fmt.Println(resp.Choices[0].Message.Content) }
```

## More from Meta

[Meta: Llama 3.1 70B Instruct131KMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...](https://hanzo.ai/models/meta-llama/llama-3.1-70b-instruct)[Meta: Llama 3.1 8B Instruct131KMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...](https://hanzo.ai/models/meta-llama/llama-3.1-8b-instruct)[Meta: Llama 3.2 1B Instruct60KLlama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...](https://hanzo.ai/models/meta-llama/llama-3.2-1b-instruct)[Meta: Llama 3.3 70B Instruct131KThe Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...](https://hanzo.ai/models/meta-llama/llama-3.3-70b-instruct)[Meta: Llama 4 Maverick1MLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...](https://hanzo.ai/models/meta-llama/llama-4-maverick)[Meta: Llama 4 Scout1MLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...](https://hanzo.ai/models/meta-llama/llama-4-scout)

[View all Meta models →](https://hanzo.ai/models/meta-llama)

## Use Meta: Llama 3.2 3B Instruct via Hanzo AI

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