nim/meta/llama-3.1-8b-instruct - API in Egypt, billed in EGP
Livellama-3.1-8b-instructMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to
Modality
Chat
Context window
131K tokens
Max output
118K tokens
Region
US
Published
20 Aug 2026
Pricing
Input
2.76
EGP per 1M tokens
Output
4.42
EGP per 1M tokens
Monthly cost example
204.43 EGP
Illustrative estimate: 50M input + 15M output tokens per month at this model's catalog rates.
Use it via the API
nim/meta/llama-3.1-8b-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-3.1-8b-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-3.1-8b-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-3.1-8b-instruct",
"messages": [
{"role": "user", "content": "What are some fun things to do in Cairo?"}
]
}'Frequently asked questions
How much does nim/meta/llama-3.1-8b-instruct cost?
2.76 EGP per 1M input tokens; 4.42 EGP per 1M output tokens. Billing is metered per token in Egyptian pounds (EGP), with no minimum commitment.
What is the context window of nim/meta/llama-3.1-8b-instruct?
nim/meta/llama-3.1-8b-instruct supports a context window of 131,072 tokens (131K), with up to 117,964 output tokens per response.
Where is nim/meta/llama-3.1-8b-instruct hosted?
nim/meta/llama-3.1-8b-instruct is served from US (US-hosted inference).
How do I use nim/meta/llama-3.1-8b-instruct via the API?
nim/meta/llama-3.1-8b-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-3.1-8b-instruct" and your API key.
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