Llama 3.1 8B Instant

by Meta

Llama 3.1 8B Instant is a fast, lightweight build of Meta's Llama 3.1 8B, tuned for quick responses in interactive and real-time use cases. With 8 billion parameters and a 128,000-token context window, it suits synchronous APIs and conversational applications that need rapid turnaround. Despite its small size, the model supports tool calling and structured output generation, enabling function-based agent patterns in lightweight settings. Multilingual training covers eight officially supported languages, and the open-weight foundation allows customization and self-hosting. It fits chatbots, code completion, content classification, and customer-facing applications where responsiveness is the priority, making it a practical choice for high-volume production services.

Key info

Input
Output
Features
Context window
128K
Max output
8K
Input price
$0.05 /1M
Output price
$0.08 /1M
  • US residency available
  • No training by default
  • no-KYC deposit available

Available routes

Llama 3.1 8B Instant runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USNot by defaultNo$0.05$0.08

Uptime and availability

Llama 3.1 8B Instant runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Llama 3.1 8B Instant has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Groq β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is not on by default β€” abuse monitoring, 30-day retention. No training on customer data. US; wallets; deposit available.

Zero data retention
Not by default β€” abuse monitoring, 30-day retention. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring (30-day retention)
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
wallets

Get started

Call Llama 3.1 8B Instant through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "groq/llama-3.1-8b-instant",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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