Private Models

Meta: Llama 3.3 70B Instruct

Trusted Execution Environment
meta-llama/llama-3.3-70b-instructModel weights

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.

Modalities
TexttoText
In / out price
$2.00 / $2.00per 1M
Context
131K
Released
Nov 28, 2025

Providers

RedPill routes this private model across verified providers with automatic fallbacks. Pricing is unified, so you pay the same price no matter which provider serves your request, while live metrics show first-token latency, speed, and uptime.

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Start building

Call this model from your application, or through your agents.

For applications

Point your OpenAI SDK at the Gateway. Chat, completions, and embeddings work unchanged.

1
Create a key
2
Set base URL
3
Verify receipt

For agents

Connect Claude Code, Codex, Pi, and more through Private AI Proxy. Traffic is protected while a verified session is active.

1
Install Proxy
2
Turn on Protected
3
Connect agents
Release notes
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://tee.redpill.ai/v1",
  apiKey: process.env.REDPILL_API_KEY,
});

const response = await client.chat.completions.create({
  model: "meta-llama/llama-3.3-70b-instruct",
  messages: [{ role: "user", content: "Say hello." }],
});

Check privacy evidence

Follow the receipt from the gateway response to its verified session using four curl requests.

  1. 1
    Check the gateway

    Fetch the current TEE evidence and check that the keyset has not expired.

    curl -fsS "https://tee.redpill.ai/v1/aci/attestation" \
      -H "Authorization: Bearer $REDPILL_API_KEY"

    Output

    {
      "api_version": "aci/1",
      "workload_keyset_digest": "sha256:4f3dc45e...",
      "attestation": { "workload_keyset": { "not_after": 1790498751, ... }, ... },
      ...
    }
  2. 2
    Send a private request

    The response header contains the receipt ID, not the receipt itself.

    curl -fsS -i "https://tee.redpill.ai/v1/chat/completions" \
      -H "Authorization: Bearer $REDPILL_API_KEY" --json '{"model":"meta-llama/llama-3.3-70b-instruct","messages":[{"role":"user","content":"Hello"}],"provider":{"aci_verified":true}}'

    Output

    HTTP/2 200
    x-receipt-id: rcpt-e0eefe63b3673e2a5984951f
    ...
    
    {
      "model": "meta-llama/llama-3.3-70b-instruct",
      ...
    }
  3. 3
    Inspect the receipt

    Paste the x-receipt-id above and compare its keyset digest with step 1.

    curl -fsS "https://tee.redpill.ai/v1/aci/receipts/REPLACE_WITH_RECEIPT_ID" \
      -H "Authorization: Bearer $REDPILL_API_KEY"

    Output

    {
      "api_version": "aci/1",
      "receipt_id": "rcpt-e0eefe63b3673e2a5984951f",
      "workload_keyset_digest": "sha256:4f3dc45e...",
      "event_log": [
        ...,
        { "type": "upstream.verified", "session_id": "63c5a08de14e5c5253e6fb29271151f40621beb83b552ccca65772772856053f", "result": "verified", "required": true },
        { "type": "response.returned", "body_hash": "sha256:..." }
      ],
      ...
    }
  4. 4
    Inspect the session

    Copy session_id from the upstream.verified event above, then fetch that session.

    curl -fsS "https://tee.redpill.ai/v1/aci/sessions/PASTE_SESSION_ID_FROM_RECEIPT" \
      -H "Authorization: Bearer $REDPILL_API_KEY"

    Output

    {
      "api_version": "aci/1",
      "upstream_name": "...",
      "verifier_id": "...",
      "claims": { "tee_attested": { "status": "asserted", ... }, ... },
      ...
    }
Full cryptographic verification guide

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