Does Llama 3.3 Nemotron Super 49B v1.5 support zero data retention?

Not self-serve on Pay-as-you-go. Zero data retention for Llama 3.3 Nemotron Super 49B v1.5 is available on request via Opper Enterprise — contact hello@opper.ai.

Where is Llama 3.3 Nemotron Super 49B v1.5 hosted?

Llama 3.3 Nemotron Super 49B v1.5 runs on US hosting routes through the Opper gateway.

Is Llama 3.3 Nemotron Super 49B v1.5 trained on prompts and outputs?

No. Every hosting route for Llama 3.3 Nemotron Super 49B v1.5 is configured so customer prompts and outputs are not used to train models by default.

Llama 3.3 Nemotron Super 49B v1.5

by NVIDIA

Llama 3.3 Nemotron Super 49B v1.5 is NVIDIA's post-trained derivative of Meta's Llama 3.3 70B, designed for reasoning-intensive tasks while staying memory-efficient. Using Neural Architecture Search with block-wise distillation, it reduces the footprint of the base 70B model while preserving quality, enabling deployment on a single high-end GPU. The model performs strongly on mathematical reasoning (97.4% on MATH500, 87.5% on AIME 2024) and code generation (73.58% on LiveCodeBench), and supports tool-calling for agent systems. It offers 128K token context and operates in two modes, reasoning-enabled with chain-of-thought and reasoning-disabled for faster inference. Trained on math, code, science, and domain-specific data via supervised fine-tuning and reinforcement learning, it handles instruction-following, retrieval-augmented generation, and complex problem-solving. Reasoning mode is controlled via system prompt, with a recommended temperature of 0.6 and top-p of 0.95.

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Key info

Input

Output

Features

Context window

131K

Max output

131K

Input price

$0.10 /1M

Output price

$0.40 /1M

US residency available
Zero data retention via Enterprise
No training by default

Available routes

Llama 3.3 Nemotron Super 49B v1.5 runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
DeepInfra	US	Enterprise	No	$0.10	$0.40

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting Llama 3.3 Nemotron Super 49B v1.5 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 is available via Opper Enterprise contract. No training on customer data. US; unknown.

Zero data retention: Available via Opper Enterprise contract.
Training: No training on customer data.
Logging: Limited debug logs
Third-party access: None disclosed
GDPR DPA: No DPA
Transfer mechanism: unknown

Get started

Call Llama 3.3 Nemotron Super 49B v1.5 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.

Set it up with your agent

Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — 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: "deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);