● Meta · chat

Llama 3.3 70B

SAMPLE: Meta's 70B instruction-tuned model for multilingual chat.

Input / 1M tokens$0.23
Output / 1M tokens$0.40
Context128K

Example: 1M input + 1M output tokens = $0.63

Call Llama 3.3 70B

OpenAI-compatible. Use any OpenAI SDK with the Keyra base URL and your key.

curl

curl https://api.keyra.example/v1/chat/completions \
  -H "Authorization: Bearer $KEYRA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "llama-3-3-70b", "messages": [{"role": "user", "content": "Hello"}]}'

Python · openai SDK

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.keyra.example/v1", api_key=os.environ["KEYRA_API_KEY"])

reply = client.chat.completions.create(
    model="llama-3-3-70b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)

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