Does Llama 4 Maverick 17B 128E Instruct FP8 support zero data retention?

Yes. Llama 4 Maverick 17B 128E Instruct FP8 is available with zero data retention on Novita through the Opper gateway. Other routes carry zero data retention with abuse monitoring; see each route's window in the data-handling section.

Where is Llama 4 Maverick 17B 128E Instruct FP8 hosted?

Llama 4 Maverick 17B 128E Instruct FP8 runs on US hosting routes through the Opper gateway.

Is Llama 4 Maverick 17B 128E Instruct FP8 trained on prompts and outputs?

No. Every hosting route for Llama 4 Maverick 17B 128E Instruct FP8 is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for Llama 4 Maverick 17B 128E Instruct FP8?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Llama 4 Maverick 17B 128E Instruct FP8. Contact hello@opper.ai to receive it.

Llama 4 Maverick 17B 128E Instruct FP8

by Meta

Llama 4 Maverick is a natively multimodal mixture-of-experts model with 17 billion active parameters across 128 experts and 400 billion total parameters. Released in April 2025, it features a 1-million-token context window, letting it handle long documents and reasoning tasks that combine text with visual content. The model uses an early-fusion architecture to integrate text and image tokens natively, supporting multi-image inputs alongside text prompts. It was trained on roughly 22 trillion tokens of multimodal data with an August 2024 knowledge cutoff, and Meta positions it for visual recognition, image reasoning, captioning, and visual question answering. It is offered in both BF16 and FP8 formats and runs on a single H100 host or distributed setups. Meta reports that Maverick beats GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, making it well suited to applications that need strong image understanding and reasoning over visual information at scale.

Call Llama 4 Maverick 17B 128E Instruct FP8 on Opper with the OpenAI SDK. Sign up without a credit card. Get started

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Key info

Input

Output

Features

Context window

128K

Max output

16K

Input price

$0.20 /1M

Output price

$0.70 /1M

US residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Available routes

Llama 4 Maverick 17B 128E Instruct FP8 runs on 2 different routes through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output	Cache read
DigitalOcean	US		No	$0.20	$0.70	Input price
Novita	US		No	$0.27	$0.85	Input price

Live routes and prices as JSON: api.opper.ai/v3/models?q=digitalocean%2Fllama-4-maverick

Uptime and availability

One of Llama 4 Maverick 17B 128E Instruct FP8's 2 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days

Its other routes aren't measured here yet.

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. 1 further route is not on the board yet. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting Llama 4 Maverick 17B 128E Instruct FP8 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DigitalOcean — United States🇺🇸

Zero data retention with abuse monitoring: nothing is logged or used for training; content flagged by abuse monitoring is held for review. No training on customer data. US; dpf sccs; DPA available.

Zero data retention: With abuse monitoring, flagged content held.
Training: No training on customer data.
Logging: None
Abuse monitoring: Always on, holds flagged content, stored in United States
Caching: Content cached for replay
Subprocessor access: No subprocessor reads content
GDPR DPA: DPA available
Transfer mechanism: dpf sccs

Novita — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; SCCs; 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: On by default, keeps nothing
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

Call Llama 4 Maverick 17B 128E Instruct FP8 through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

Llama 4 Maverick 17B 128E Instruct FP8 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

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "digitalocean/llama-4-maverick",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);