Meta: Llama 3.3 70B Instruct
TEETrusted Execution Environmentmeta-llama/llama-3.3-70b-instructModel weightsThe 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.
For agents
Connect Claude Code, Codex, Pi, and more through Private AI Proxy. Traffic is protected while a verified session is active.
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.
- 1Check 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, ... }, ... }, ... } - 2Send 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", ... } - 3Inspect 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:..." } ], ... } - 4Inspect 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", ... }, ... }, ... }