Llama 3.3 Nemotron Super 49B V1.5
VerifiedNVIDIA's open-weight Llama variant for extended-context text tasks.
About Llama 3.3 Nemotron Super 49B V1.5
This model follows the transformer architecture of the Llama 3.3 series while incorporating NVIDIA's optimizations. It remains fully open-weight, enabling researchers and developers to inspect, fine-tune, or deploy it on their own infrastructure. The 131072-token context supports processing of lengthy documents without truncation.
Its design emphasizes compatibility with standard inference frameworks and hardware accelerators. Because the weights are publicly available, the model can be adapted for specialized domains or integrated into custom pipelines. Text-only input and output keep resource requirements focused on language modeling rather than multimodal processing.
Typical usage includes document summarization, conversational agents, and code-related tasks that benefit from long context. Developers often run it locally or on cloud instances to maintain data privacy. The open-weight release also facilitates academic study and iterative improvement by the community.
Capabilities
How Llama 3.3 Nemotron Super 49B V1.5 compares
Llama 3.3 Nemotron Super 49B V1.5 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Llama 3.3 Nemotron Super 49B V1.5 ranks #21 of 66
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-document analysis
The 131072-token context window enables processing and reasoning over entire books, legal contracts, or technical manuals in a single pass.
Enterprise chat applications
Optimized by NVIDIA for high-throughput inference, it supports sustained multi-turn conversations with detailed domain knowledge retention.
Complex code understanding
Its scale and context length make it effective for analyzing large codebases, generating patches, and explaining architectural decisions across multiple files.
Strengths & limitations
Strengths
- +Strong reasoning on complex tasks
- +Optimized for NVIDIA hardware efficiency
- +High-quality coherent text generation
- +Supports extended 128k context
Limitations
- –Text-only modality
- –Large model size increases inference cost
- –Standard LLM risks of hallucination
Cost calculator
Estimate what Llama 3.3 Nemotron Super 49B V1.5 would cost for your usage.
Based on Llama 3.3 Nemotron Super 49B V1.5's $0.40/1M input · $0.40/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "nvidia/llama-3.3-nemotron-super-49b-v1.5",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: nvidia/llama-3.3-nemotron-super-49b-v1.5
Editor's verdict
Llama 3.3 Nemotron Super 49B V1.5 is NVIDIA's open-weight language models with a 131K-token context window.
At $0.40 per 1M output tokens, it is very cost-efficient for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to strong reasoning on complex tasks and optimized for nvidia hardware efficiency.
Frequently asked questions
The model supports a context window of 131072 tokens.
User reviews
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