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nvidia · Open weights

Nvidia Nemotron Super 49B

Added Aug 8, 2025Open weights

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Use in the app

Llama-3.3-Nemotron-Super-49B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to savings. Using a novel Neural Architecture Search (NAS) approach, we greatly reduce the model's memory footprint, enabling larger workloads, as well as fitting the model on a single GPU at high workloads (H200). This NAS approach enables the selection of a desired point in the accuracy-efficiency tradeoff. For more information on the NAS approach, please refer to this paper.

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Text
Output
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Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.15
Output
$0.15

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
16.4K

Side by side

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TryQwen 3 32bHermes 4 LargeGLM 4.5V ThinkingAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

7.3

Better than 10% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    7.7

    Composite of the math evaluations

    Better than 8% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    12.0%

    Reasoning across long documents

    Better than 5% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    3.8%

    Expert-level questions across academic fields

    Better than 5% of 323 scored models

  • GPQA Diamond

    51.7%

    Graduate-level science questions

    Better than 10% of 291 scored models

  • MMLU-Pro

    69.8%

    Multi-subject knowledge and reasoning

    Better than 21% of 132 scored models

  • IFBench

    39.5%

    Following precise output instructions

    Better than 26% of 215 scored models

Coding

  • LiveCodeBench

    28.0%

    Recent competitive programming problems

    Better than 14% of 129 scored models

Math

  • AIME 2025

    7.7%

    Competition mathematics, 2025 problems

    Better than 8% of 118 scored models

  • AIME

    19.3%

    Competition mathematics

    Better than 27% of 72 scored models

  • MATH-500

    77.5%

    Competition math problems

    Better than 28% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    0.0%

    Earlier terminal task suite

    Better than 0% of 212 scored models

  • AA-LCR (unversioned)

    12.0%

    Long-context reasoning, earlier grading

    Better than 5% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia/Llama-3.3-Nemotron-Super-49B-v1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="nvidia/Llama-3.3-Nemotron-Super-49B-v1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

nvidia

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