llama-4-maverick-17b-128e-instruct-fp8 - API in Egypt, billed in EGP

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The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. Llama 4 Maverick, a 17 billion parameter model with 128 experts

Modality

Chat

Context window

1M tokens

Max output

16K tokens

Region

US

Weights

Open weights

Published

Jul 14, 2026

Pricing

Input

11.44

EGP per 1M tokens

Output

45.76

EGP per 1M tokens

Monthly cost example

1,258.4 EGP

Illustrative estimate: 50M input + 15M output tokens per month at this model's catalog rates.

Use it via the API

llama-4-maverick-17b-128e-instruct-fp8 works with any OpenAI-compatible SDK — point the base URL at https://backend.sovereigneg.com/v1 and use your SovereignEG API key.

Run inference

OpenAI-compatible — POST /v1/chat/completions — drop-in for any OpenAI SDK.

from openai import OpenAI

client = OpenAI(
    base_url="https://backend.sovereigneg.com/v1",
    api_key="YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="llama-4-maverick-17b-128e-instruct-fp8",
    messages=[
        {"role": "user", "content": "What are some fun things to do in Cairo?"}
    ],
)

print(response.choices[0].message.content)

Frequently asked questions

How much does llama-4-maverick-17b-128e-instruct-fp8 cost?

11.44 EGP per 1M input tokens; 45.76 EGP per 1M output tokens. Billing is metered per token in Egyptian pounds (EGP), with no minimum commitment.

What is the context window of llama-4-maverick-17b-128e-instruct-fp8?

llama-4-maverick-17b-128e-instruct-fp8 supports a context window of 1,048,576 tokens (1M), with up to 16,384 output tokens per response.

Where is llama-4-maverick-17b-128e-instruct-fp8 hosted?

llama-4-maverick-17b-128e-instruct-fp8 is served from US (US-hosted inference).

Is llama-4-maverick-17b-128e-instruct-fp8 an open-weights model?

Yes — llama-4-maverick-17b-128e-instruct-fp8 is an open-weights model. You call it through the SovereignEG API like any other catalog model, with per-token EGP billing.

How do I use llama-4-maverick-17b-128e-instruct-fp8 via the API?

llama-4-maverick-17b-128e-instruct-fp8 is available through the OpenAI-compatible SovereignEG API: point your SDK's base URL at https://backend.sovereigneg.com/v1 and call /v1/chat/completions with model "llama-4-maverick-17b-128e-instruct-fp8" and your API key.