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.
Llama 3.3 Nemotron Super 49B v1.5 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 |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.10 | $0.40 |
Llama 3.3 Nemotron Super 49B v1.5 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 3.3 Nemotron Super 49B v1.5 has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; deposit available.
Call Llama 3.3 Nemotron Super 49B v1.5 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: "deepinfra/nvidia/Llama-3.3-Nemotron-Super-49B-v1.5",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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