LLAMA SPEED

The fastest Llama 4 Maverick API

Run Llama 4 Maverick responses in 1.7× the speed of vanilla inference – no infra hassle.

by Prompt Logo

Standard Example

from openai import OpenAI
client = OpenAI(
    base_url="https://api.llamaspeed.com/v1/fast",
    api_key=YOUR_API_KEY,
)
completion = client.chat.completions.create(
    model="fastllama4",
    messages=[
        {"role": "user", "content": "Who are you?"}
    ]
)

Async Example

import asyncio
from openai import AsyncOpenAI
client = AsyncOpenAI(
    base_url="https://api.llamaspeed.com/v1/fast",
    api_key=YOUR_API_KEY,
)

async def main():
    stream = await client.chat.completions.create(
        model="fastllama4",
        messages=[
            {"role": "user", "content": "What is the meaning of life?"}
        ],
        stream=True
    )
    async for chunk in stream:
        if chunk.choices[0].delta.content is not None:
            print(chunk)

Throughput (Tokens per Second)

Llama Speed
225
Lambda Labs
134
Google Vertex
129
Together AI
107

We benchmarked Llama Speed's API across other frontier model providers on reproducing the ShareGPT dataset and measured throughput in tokens / second for each subsequent token after the first token was generated.

Blazing Speed

Custom CUDA kernels & quantization deliver answers before you can blink.

Zero Dev‑Ops

One HTTPS endpoint, auto‑scaling. Focus on product, not GPUs.

Streaming by Default

Token‑level SSE lets your users read as the model thinks.