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Nvidia Nemotron 3.5 Lightning Thinking

Added Aug 12, 2026Open weights

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Nvidia Nemotron 3.5 Lightning is an open-weight 30B-A3B hybrid Mamba-Transformer mixture-of-experts model for high-throughput agentic, coding, tool-use, instruction-following, and long-context workloads. This variant enables its reasoning trace.

  • Reasoning
  • Tools
  • Parallel tools
Input
Text
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.05
Output
$0.20
Cache read
$0.01

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
65.5K
Average output (7 days)
6.1K tokens
Longer than 99% of 468 models

Side by side

Nvidia Nemotron 3.5 Lightning Thinking 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 ThinkingnvidiaThis modelNemotron 3.5 Content SafetynvidiaRemove
Providernvidianvidia
Discovery tierOpen weightsOpen weights
AddedAug 12, 2026Sep 19, 2026
Limits
Context window1MBest131.07K
Max output65.54KBest32.77K
Average output6.1K tokens16 tokens
Pricing, USD per 1M tokens
Input$0.05$0.05
Output$0.20$0.15Best
Cache read$0.01Best$0.025
Benchmark indexes
Intelligence Index12.9—
Coding Index26.8—
Capabilities
ReasoningYesYes
ToolsYesNo
Parallel toolsYesNo
Reasoning effortnone, high—

Public evaluations

Benchmarks

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

  • Nvidia Nemotron 3.5 Lightning Thinking
  • Nemotron 3.5 Content Safety

Intelligence Index

  • Nvidia Nemotron 3.5 Lightning Thinking12.9
  • Nemotron 3.5 Content Safety—

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

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

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

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

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

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

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

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

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

  • AA-LCRv1.1

    Reasoning across long documents

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

  • MLCR-AA

    Long-context reasoning over medical records

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

  • GPQA Diamond

    Graduate-level science questions

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

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

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

  • SciCode

    Scientific computing in Python

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

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

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

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
0.0%
About $0.05 per 1M input tokens with caching

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

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/nemotron-3.5-lightning:thinking",
    "reasoning_effort": "none",
    "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/nemotron-3.5-lightning:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

nvidia

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