Llama 3.1 8B Instruct is Meta's production-grade lightweight model, released July 2024. With 8 billion parameters and a 131,072-token context window, it offers a strong cost-to-capability ratio, with solid instruction following and reasoning in a compact footprint. The model supports tool calling and structured output, enabling agentic workflows and programmatic integration without moving to larger models. It handles general-purpose tasks including summarization, question answering, code generation, and classification with competitive quality for its size. Its open-weight design and multilingual training make it suitable for fine-tuning and on-premise deployment. It is a common pick where compute is limited yet enough capability remains for diverse downstream tasks beyond simple text generation.
Llama-3.1-8B-Instruct runs on 3 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.
Training posture across routes: No training on prompts by default.
Each route hosting Llama-3.1-8B-Instruct has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; DPA available.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Call Llama-3.1-8B-Instruct through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "berget/meta-llama/Llama-3.1-8B-Instruct",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
