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Nvidia Nemotron 3.5 Lightning TEE

Added Sep 11, 2026Open weights

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Use in the app

NVIDIA's open-weight 30B mixture-of-experts model with 3B active parameters for fast agentic workflows, coding, and tool use. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
none · low · medium · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.08
Output
$0.20
Cache read
$0.04

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K

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TryGPT 5 NanoGLM 4.5DeepSeek R1 0528All 3

Public evaluations

Benchmarks

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

Intelligence Index

12.9

Better than 30% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    26.8

    Composite of the coding evaluations

    Better than 19% of 168 scored models

Agentic work

  • AutomationBench-AA

    0.8%

    Workflow automation, penalized for guardrail violations

    Better than 8% of 173 scored models

  • AutomationBench-AA tasks completed

    0.0%

    Workflows finished end to end without a guardrail violation

    Better than 0% of 173 scored models

  • AA-Briefcasev1.1

    506 Elo

    Agentic knowledge work, rated head to head

    Better than 21% of 166 scored models

  • GDPval-AAv2.1

    638 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 20% of 187 scored models

Document reasoning

  • GDP.pdf

    3.0%

    Professional reasoning over PDF documents, all-pass rate

    Better than 12% of 171 scored models

  • AA-LCRv1.1

    60.3%

    Reasoning across long documents

    Better than 37% of 309 scored models

  • MLCR-AA

    2.2%

    Long-context reasoning over medical records

    Better than 5% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    10.6%

    Expert-level questions across academic fields

    Better than 32% of 323 scored models

  • GPQA Diamond

    74.3%

    Graduate-level science questions

    Better than 33% of 291 scored models

Coding

  • Terminal-Benchv4.0

    0.5%

    Practical software engineering in a terminal

    Better than 30% of 171 scored models

  • SciCode

    32.1%

    Scientific computing in Python

    Better than 6% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    60.3%

    Long-context reasoning, earlier grading

    Better than 37% 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": "TEE/nemotron-3.5-lightning",
    "reasoning_effort": "medium",
    "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="TEE/nemotron-3.5-lightning",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

nvidia

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