KlaarGPU TEE

Meta: Llama 3.3 70B Instruct

Model-IDmeta-llama/llama-3.3-70b-instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

Begin met bouwen Documentatie

input

$2.00/M

output

$2.00/M

context

131K

aangemaakt

28 nov 2025

Ondersteunde API-vorm

input

text

output

text

tools

Ondersteund

JSON-modus

Ondersteund

Verificatie

handtekening

respons-ID

attestering

GPU TEE

provider

Phala

Provider

Phala

GPU TEE

input

$2.00/M

output

$2.00/M

context

131K

$ pip install openai

1from openai import OpenAI
2import os
3
4MODEL = "meta-llama/llama-3.3-70b-instruct"
5
6client = OpenAI(
7    base_url="https://api.redpill.ai/v1",
8    api_key=os.environ["REDPILL_API_KEY"],
9)
10
11response = client.chat.completions.create(
12    model=MODEL,
13    messages=[{"role": "user", "content": "Run this privately."}],
14)
15
16print(response.id)
17print(response.choices[0].message.content)

$ npm install openai

1import OpenAI from "openai"
2
3const MODEL = "meta-llama/llama-3.3-70b-instruct"
4
5const openai = new OpenAI({
6  baseURL: "https://api.redpill.ai/v1",
7  apiKey: process.env.REDPILL_API_KEY,
8})
9
10const response = await openai.chat.completions.create({
11  model: MODEL,
12  messages: [{ role: "user", content: "Run this privately." }],
13})
14
15console.log(response.id)
16console.log(response.choices[0].message.content)

1curl https://api.redpill.ai/v1/chat/completions \
2  -H "Authorization: Bearer $REDPILL_API_KEY" \
3  -H "Content-Type: application/json" \
4  -d '{
5    "model": "meta-llama/llama-3.3-70b-instruct",
6    "messages": [
7      { "role": "user", "content": "Run this privately." }
8    ]
9  }'

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