llama-4-scout-17b-16e-instruct - 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 Scout, a 17 billion parameter model with 16 experts
Modality
Chat
Context window
328K tokens
Max output
16K tokens
Region
US
Weights
Open weights
Published
Jul 14, 2026
Pricing
Input
5.72
EGP per 1M tokens
Output
17.16
EGP per 1M tokens
Monthly cost example
543.4 EGP
Illustrative estimate: 50M input + 15M output tokens per month at this model's catalog rates.
Use it via the API
llama-4-scout-17b-16e-instruct 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-scout-17b-16e-instruct",
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-scout-17b-16e-instruct",
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-scout-17b-16e-instruct",
"messages": [
{"role": "user", "content": "What are some fun things to do in Cairo?"}
]
}'Frequently asked questions
How much does llama-4-scout-17b-16e-instruct cost?
5.72 EGP per 1M input tokens; 17.16 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-scout-17b-16e-instruct?
llama-4-scout-17b-16e-instruct supports a context window of 327,680 tokens (328K), with up to 16,384 output tokens per response.
Where is llama-4-scout-17b-16e-instruct hosted?
llama-4-scout-17b-16e-instruct is served from US (US-hosted inference).
Is llama-4-scout-17b-16e-instruct an open-weights model?
Yes — llama-4-scout-17b-16e-instruct 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-scout-17b-16e-instruct via the API?
llama-4-scout-17b-16e-instruct 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-scout-17b-16e-instruct" and your API key.
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