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Nvidia Nemotron 3.5 Lightning TEE

Added Sep 11, 2026Open weights

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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

Side by side

Nvidia Nemotron 3.5 Lightning TEE compared

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

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Nvidia Nemotron 3.5 Lightning TEEnvidiaThis modelNemotron 3.5 Content SafetynvidiaRemove
Providernvidianvidia
Discovery tierOpen weightsOpen weights
AddedSep 11, 2026Sep 19, 2026
Limits
Context window262.14KBest131.07K
Max output65.54KBest32.77K
Average output—16 tokens
Pricing, USD per 1M tokens
Input$0.08$0.05Best
Output$0.20$0.15Best
Cache read$0.04$0.025Best
Benchmark indexes
Intelligence Index12.9—
Coding Index26.8—
Capabilities
ReasoningYesYes
ToolsYesNo
Structured outputYesNo
Reasoning effortnone, low, medium, high—

Public evaluations

Benchmarks

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

  • Nvidia Nemotron 3.5 Lightning TEE
  • Nemotron 3.5 Content Safety

Intelligence Index

  • Nvidia Nemotron 3.5 Lightning TEE12.9
  • Nemotron 3.5 Content Safety—

Nvidia Nemotron 3.5 Lightning TEE: Better than 30% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Nvidia Nemotron 3.5 Lightning TEE: 26.8
    • Nemotron 3.5 Content Safety: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Nvidia Nemotron 3.5 Lightning TEE: 0.8%
    • Nemotron 3.5 Content Safety: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Nvidia Nemotron 3.5 Lightning TEE: 0.0%
    • Nemotron 3.5 Content Safety: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Nvidia Nemotron 3.5 Lightning TEE: 506 Elo
    • Nemotron 3.5 Content Safety: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Nvidia Nemotron 3.5 Lightning TEE: 638 Elo
    • Nemotron 3.5 Content Safety: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Nvidia Nemotron 3.5 Lightning TEE: 3.0%
    • Nemotron 3.5 Content Safety: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Nvidia Nemotron 3.5 Lightning TEE: 60.3%
    • Nemotron 3.5 Content Safety: —

  • MLCR-AA

    Long-context reasoning over medical records

    • Nvidia Nemotron 3.5 Lightning TEE: 2.2%
    • Nemotron 3.5 Content Safety: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Nvidia Nemotron 3.5 Lightning TEE: 10.6%
    • Nemotron 3.5 Content Safety: —

  • GPQA Diamond

    Graduate-level science questions

    • Nvidia Nemotron 3.5 Lightning TEE: 74.3%
    • Nemotron 3.5 Content Safety: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Nvidia Nemotron 3.5 Lightning TEE: 0.5%
    • Nemotron 3.5 Content Safety: —

  • SciCode

    Scientific computing in Python

    • Nvidia Nemotron 3.5 Lightning TEE: 32.1%
    • Nemotron 3.5 Content Safety: —

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Nvidia Nemotron 3.5 Lightning TEE: 60.3%
    • Nemotron 3.5 Content Safety: —

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)

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