Llama 3.3 Nemotron Super 49B V1.5
Built by NVIDIA, Llama 3.3 Nemotron Super 49B V1.5 is an chat model with a 131K token context window. Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
by NVIDIA · 131K token context window
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Llama 3.3 Nemotron Super 49B V1.5 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NVIDIA API key. osFoundry discovers Llama 3.3 Nemotron Super 49B V1.5 automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
Run Llama 3.3 Nemotron Super 49B V1.5 yourself
Llama 3.3 Nemotron Super 49B V1.5 is also available as open weights — self-host it for full data control and no per-token cost. See that page for GPU requirements and a cost comparison against API pricing.
Llama 3.3 Nemotron Super 49B V1.5 vs similar models
Licence
Hosted — usage subject to provider terms — Hosted-only model — usage governed by the provider's API terms. Bring your own provider key.
No weights distributed; usage subject to provider terms.
Frequently asked about Llama 3.3 Nemotron Super 49B V1.5
How much does Llama 3.3 Nemotron Super 49B V1.5 cost?
Llama 3.3 Nemotron Super 49B V1.5 is metered at $ 0.100 /1M for input, and $ 0.400 /1M for output. Bring your own NVIDIA API key — osFoundry passes through provider pricing without markup.
Can I use Llama 3.3 Nemotron Super 49B V1.5 commercially?
Commercial use is allowed with conditions. Hosted-only model — usage governed by the provider's API terms. Bring your own provider key. No weights distributed; usage subject to provider terms.
What is the context window of Llama 3.3 Nemotron Super 49B V1.5?
Llama 3.3 Nemotron Super 49B V1.5 supports a 131K token context window.
Can I run Llama 3.3 Nemotron Super 49B V1.5 locally?
No — Llama 3.3 Nemotron Super 49B V1.5 is hosted only and accessed via the NVIDIA API. An open-weights equivalent is available to self-host — see the cross-link above.
What is Llama 3.3 Nemotron Super 49B V1.5 best at?
Llama 3.3 Nemotron Super 49B V1.5 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Llama 3.3 Nemotron Super 49B V1.5 in osFoundry?
Paste your NVIDIA API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama 3.3 Nemotron Super 49B V1.5 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NVIDIA on October 10, 2025. Source: https://openrouter.ai/nvidia/llama-3.3-nemotron-super-49b-v1.5