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Nvidia Nemotron Super 49B

Added Aug 8, 2025Open weights

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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.

Input
Text
Output
Text
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

Nvidia Nemotron Super 49B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Nvidia Nemotron Super 49BnvidiaThis modelGLM 4.5V ThinkingZ.aiRemove
ProvidernvidiaZ.ai
Discovery tierOpen weightsOpen weights
AddedAug 8, 2025Nov 22, 2025
Limits
Context window128KBest65.54K
Max output16.38K16.38K
Average output—534 tokens
Pricing, USD per 1M tokens
Input$0.15Best$0.60
Output$0.15Best$1.80
Benchmark indexes
Intelligence Index7.37.6Best
Math Index7.773.0Best
Capabilities
ReasoningNoYes
VisionNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Nvidia Nemotron Super 49B
  • GLM 4.5V Thinking

Intelligence Index

  • Nvidia Nemotron Super 49B7.3
  • GLM 4.5V Thinking7.6

Nvidia Nemotron Super 49B: Better than 10% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Nvidia Nemotron Super 49B: 7.7
    • GLM 4.5V Thinking: 73.0Top

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Nvidia Nemotron Super 49B: 12.0%Top
    • GLM 4.5V Thinking: 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Nvidia Nemotron Super 49B: 3.8%
    • GLM 4.5V Thinking: 6.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • Nvidia Nemotron Super 49B: 51.7%
    • GLM 4.5V Thinking: 68.4%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Nvidia Nemotron Super 49B: 69.8%
    • GLM 4.5V Thinking: 78.8%Top

  • IFBench

    Following precise output instructions

    • Nvidia Nemotron Super 49B: 39.5%Top
    • GLM 4.5V Thinking: 34.2%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Nvidia Nemotron Super 49B: 28.0%
    • GLM 4.5V Thinking: 60.4%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Nvidia Nemotron Super 49B: 7.7%
    • GLM 4.5V Thinking: 73.0%Top

  • AIME

    Competition mathematics

    • Nvidia Nemotron Super 49B: 19.3%
    • GLM 4.5V Thinking: —

  • MATH-500

    Competition math problems

    • Nvidia Nemotron Super 49B: 77.5%
    • GLM 4.5V Thinking: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Nvidia Nemotron Super 49B: 0.0%
    • GLM 4.5V Thinking: 5.3%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Nvidia Nemotron Super 49B: —
    • GLM 4.5V Thinking: 22.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Nvidia Nemotron Super 49B: 12.0%Top
    • GLM 4.5V Thinking: 0.0%

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)

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