Llama 3.1 Nemotron Ultra 253B v1

by Meta

Llama 3.1 Nemotron Ultra 253B v1 is a reasoning model developed by NVIDIA, derived from Meta's Llama 3.1 405B Instruct using Neural Architecture Search to reduce its memory footprint. With 253 billion parameters and a 131,072-token context window, it targets reasoning-heavy workloads and research applications. The model is post-trained for reasoning, structured output generation, and multi-step problem decomposition, with support for chat preferences, retrieval-augmented generation, and tool calling. The architecture search aims to make a model of this scale more efficient to serve. Its open-weight release supports research, customization, and on-premise deployment for organizations with sufficient compute. Its reasoning focus places it above standard 70B models on tasks involving logic and mathematics.

Key info

Input
Output
Features
Context window
131K
Max output
8K
Input price
$0.60 /1M
Output price
$1.80 /1M
  • EU residency available
  • No training by default
  • GDPR DPA available

Available routes

Llama 3.1 Nemotron Ultra 253B v1 runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
EUNot by defaultNo$0.60$1.80

Uptime and availability

Llama 3.1 Nemotron Ultra 253B v1 runs on a single route through the Opper gateway today, so its availability is that provider's availability.

96.35%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 Nemotron Ultra 253B v1 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

Nebius Finland🇫🇮

Zero data retention is not on by default — abuse monitoring. No training on customer data. EU; DPA available.

Zero data retention
Not by default — abuse monitoring. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
GDPR DPA
DPA available
Transfer mechanism
Not applicable — data stays in EU

Get started

Call Llama 3.1 Nemotron Ultra 253B v1 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 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: "nebius/llama-3.1-nemotron-ultra-253b-v1",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Side-by-side on privacy, EU hosting, pricing, and benchmarks.

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