Served through the OpenRouter gateway and billed per token at the price shown. One key reaches every model here, and a conversation carries over when you switch.
openrouter/meta-llama/llama-3.1-70b-instructAny OpenAI client works: point it at backend.alfnrl.io/v1 and send openrouter/meta-llama/llama-3.1-70b-instruct as the model. Add an X-Thread-Id header to keep a conversation going across models; the quickstart shows it.
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The same weights, as an open repository: read the model card, browse the files, or rent a GPU and run it yourself.
meta-llama/Llama-3.1-70B-InstructDeploy· from $0.17/hrPrices are what AlphaNeural AI bills, in USD, and can change when the upstream provider changes theirs. The catalogue is refreshed from the gateway every few minutes.
curl https://backend.alfnrl.io/v1/chat/completions \
-H "Authorization: Bearer $ALPHANEURAL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openrouter/meta-llama/llama-3.1-70b-instruct",
"messages": [{"role": "user", "content": "Explain what a context window is, in two sentences."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://backend.alfnrl.io/v1",
api_key=os.environ["ALPHANEURAL_API_KEY"],
)
reply = client.chat.completions.create(
model="openrouter/meta-llama/llama-3.1-70b-instruct",
messages=[{"role": "user", "content": "Explain what a context window is, in two sentences."}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://backend.alfnrl.io/v1",
apiKey: process.env.ALPHANEURAL_API_KEY,
});
const reply = await client.chat.completions.create({
model: "openrouter/meta-llama/llama-3.1-70b-instruct",
messages: [{ role: "user", content: "Explain what a context window is, in two sentences." }],
});
console.log(reply.choices[0].message.content);