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.
Llama 3.1 Nemotron Ultra 253B v1 runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| EU | Not by default | No | $0.60 | $1.80 |
Llama 3.1 Nemotron Ultra 253B v1 runs on a single route through the qynio gateway today, so its availability is that provider's availability.
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.
Each route hosting Llama 3.1 Nemotron Ultra 253B v1 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is not on by default — abuse monitoring. No training on customer data. EU; deposit available.
Call Llama 3.1 Nemotron Ultra 253B v1 through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
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: "nebius/llama-3.1-nemotron-ultra-253b-v1",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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