llama-4-maverick-17b-128e-instruct-fp8 - API in Egypt, billed in EGP
LiveThe 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)import OpenAI from "openai"
const client = new OpenAI({
baseURL: "https://backend.sovereigneg.com/v1",
apiKey: "YOUR_API_KEY",
})
const response = await 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?" },
],
})
console.log(response.choices[0].message.content)curl https://backend.sovereigneg.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-4-maverick-17b-128e-instruct-fp8",
"messages": [
{"role": "user", "content": "What are some fun things to do in Cairo?"}
]
}'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.
Related models
View all models →llama-3.3-70b-instruct-turbo
Meta · Chat · 131K context
5.72 EGP / 1M input tokens
llama-4-scout-17b-16e-instruct
Meta · Chat · 328K context
5.72 EGP / 1M input tokens
llama-guard-4-12b
Meta · Chat · 164K context
10.30 EGP / 1M input tokens
meta-llama-3.1-70b-instruct-turbo
Meta · Chat · 131K context
22.88 EGP / 1M input tokens