Llama 3.1 8B Instruct Turbo

by Meta

Llama 3.1 8B Instruct Turbo is a throughput-optimized build of the standard 8B model. It keeps the full 131,072-token context window and tool calling support while favoring higher request capacity and efficient serving for systems handling large concurrent workloads. The optimization targets inference efficiency without changing the model's instruction-following or tool-use behavior. It suits high-traffic APIs and real-time services where both responsiveness and cost matter. It pairs well with batch inference and load-balancing strategies to amortize serving costs. The open-weight foundation permits self-hosting and fine-tuning when application-specific adjustments are needed alongside the speed-focused serving build.

Call Llama 3.1 8B Instruct Turbo on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Key info

Input
Output
Features
Context window
131K
Max output
131K
Input price
$0.02 /1M
Output price
$0.04 /1M
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

Llama 3.1 8B Instruct Turbo runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutputCache read
USNo$0.02$0.04Input price

Uptime and availability

Llama 3.1 8B Instruct Turbo runs on a single route through the Opper 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. Set up a fallback chain.

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

Data handling per route

Each route hosting Llama 3.1 8B Instruct Turbo has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention
Yes. Nothing is logged, held for abuse monitoring or used for training.
Training
No training on customer data.
Logging
None
Abuse monitoring
No classifier
GDPR DPA
DPA available
Transfer mechanism
unknown

Get started

Call Llama 3.1 8B Instruct Turbo through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Llama 3.1 8B Instruct Turbo is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

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 Opper for you.

Or call it directly

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: "deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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