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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 modelNvidia Nemotron 3.5 Super VLnvidiaRemove
Providernvidianvidia
Discovery tierOpen weightsOpen weights
AddedAug 12, 2026Oct 15, 2026
Limits
Context window1MBest262.14K
Max output65.54KBest16.38K
Average output6.1K tokens1.1K tokens
Pricing, USD per 1M tokens
Input$0.05Best$0.15
Output$0.20Best$0.50
Cache read$0.01Best$0.02
Performance
Throughput—654.7 tok/s
Time to first token—1.8 s
Request success (24h)—98.0%
Benchmark indexes
Intelligence Index12.926.5Best
Coding Index26.8—
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputNoYes
Video inputNoYes
Parallel toolsYesNo
Reasoning effortnone, highnone, 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 Thinking
  • Nvidia Nemotron 3.5 Super VL

Intelligence Index

  • Nvidia Nemotron 3.5 Lightning Thinking12.9
  • Nvidia Nemotron 3.5 Super VL26.5

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
    • Nvidia Nemotron 3.5 Super VL: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Nvidia Nemotron 3.5 Lightning Thinking: 0.8%
    • Nvidia Nemotron 3.5 Super VL: 14.8%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Nvidia Nemotron 3.5 Lightning Thinking: 0.0%
    • Nvidia Nemotron 3.5 Super VL: 2.0%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Nvidia Nemotron 3.5 Lightning Thinking: 506 Elo
    • Nvidia Nemotron 3.5 Super VL: 999 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Nvidia Nemotron 3.5 Lightning Thinking: 638 Elo
    • Nvidia Nemotron 3.5 Super VL: 1,162 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Nvidia Nemotron 3.5 Lightning Thinking: 3.0%
    • Nvidia Nemotron 3.5 Super VL: 8.0%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • Nvidia Nemotron 3.5 Lightning Thinking: 60.3%
    • Nvidia Nemotron 3.5 Super VL: 69.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Nvidia Nemotron 3.5 Lightning Thinking: 2.2%
    • Nvidia Nemotron 3.5 Super VL: 13.3%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Nvidia Nemotron 3.5 Lightning Thinking: 10.6%
    • Nvidia Nemotron 3.5 Super VL: 30.7%Top

  • GPQA Diamond

    Graduate-level science questions

    • Nvidia Nemotron 3.5 Lightning Thinking: 74.3%
    • Nvidia Nemotron 3.5 Super VL: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Nvidia Nemotron 3.5 Lightning Thinking: 0.5%Top
    • Nvidia Nemotron 3.5 Super VL: 0.0%

  • SciCode

    Scientific computing in Python

    • Nvidia Nemotron 3.5 Lightning Thinking: 32.1%
    • Nvidia Nemotron 3.5 Super VL: 47.8%Top

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Nvidia Nemotron 3.5 Lightning Thinking: 60.3%
    • Nvidia Nemotron 3.5 Super VL: 69.0%Top

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

Other nvidia models, starting with the same family.