Open Source · language

Use Llama 4 Maverick with Rust

Updated 2026-05-21 · By XALEN

How to use Llama 4 Maverick (Open Source, 400B (17B active)) with Rust. Install, authenticate, and make your first API call in minutes. Working code example included.

Model
Llama 4 Maverick
400B (17B active) · 256K context · $0.07 input
Framework
Rust
language · cargo add async-openai

1. Install

cargo add async-openai

2. Code

use async_openai::{Client, config::OpenAIConfig, types::*};

#[tokio::main]
async fn main() {
    let config = OpenAIConfig::new()
        .with_api_key("xln_test_YOUR_KEY")
        .with_api_base("https://api.xalen.io/v1");
    let client = Client::with_config(config);

    let request = CreateChatCompletionRequestArgs::default()
        .model("llama-4-maverick")
        .messages(vec![ChatCompletionRequestUserMessageArgs::default()
            .content("Hello from Rust!").build().unwrap().into()])
        .build().unwrap();

    let response = client.chat().create(request).await.unwrap();
    println!("{}", response.choices[0].message.content.as_ref().unwrap());
}

Llama 4 Maverick with Other Frameworks

Python JavaScript React Next.js Flask FastAPI Django Express.js

Other Models with Rust

Vedika Standard Vedika Fast Vedika Pro Ultra Vedika Vision Vedika Code Vedika Astro Agent

200+ models. One API. Works with any framework.

Get API Key

Last updated: 2026-05-21