Enterprise DNAEnterprise DNA
LModelsLong context
NVIDIA logo

Nemotron 3.5 Lightning

by NVIDIA

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and sp

N3

Models

Nemotron 3.5 Lightning

Added 3 Sept 2026

#nvidia

Overview

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

How to use / API access

Call via OpenRouter with model id `nvidia/nemotron-3.5-lightning`.

  • openrouter · nvidia/nemotron-3.5-lightning Docs

OpenRouter id: nvidia/nemotron-3.5-lightning

Benchmarks

  • Intelligence Index (artificial-analysis): 12.9 index
  • Coding Index (artificial-analysis): 26.8 index
  • Agentic Index (artificial-analysis): 3.5 index

Notes

Nemotron 3.5 Lightning is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much Nemotron 3.5 Lightning is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
892B ▼27.6%
Requests, last 7 days
18.7M
Tool calls, last 7 days
8.6M
Intelligence score
12.9
Average cost per request
0.3¢
Price per million tokens
$0.07 in · $0.2 out
0125B250B19 Sept: 73.3B tokens, 1.3M requests20 Sept: 68.4B tokens, 1.3M requests21 Sept: 68.2B tokens, 1.6M requests22 Sept: 80.7B tokens, 1.7M requests23 Sept: 86.9B tokens, 2M requests24 Sept: 87.4B tokens, 1.9M requests25 Sept: 74.6B tokens, 1.5M requests26 Sept: 71.9B tokens, 1.5M requests27 Sept: 84.1B tokens, 1.6M requests28 Sept: 122B tokens, 2.3M requests29 Sept: 80.5B tokens, 1.6M requests30 Sept: 70B tokens, 1.4M requests1 Oct: 66.9B tokens, 1.4M requests2 Oct: 90.6B tokens, 1.9M requests3 Oct: 78.9B tokens, 1.5M requests4 Oct: 107B tokens, 2.1M requests5 Oct: 118B tokens, 2.6M requests6 Oct: 132B tokens, 2.8M requests7 Oct: 139B tokens, 3M requests8 Oct: 136B tokens, 2.7M requests9 Oct: 138B tokens, 2.9M requests10 Oct: 140B tokens, 3.1M requests11 Oct: 146B tokens, 2.8M requests12 Oct: 228B tokens, 4.1M requests13 Oct: 223B tokens, 3.3M requests14 Oct: 221B tokens, 3.4M requests15 Oct: 215B tokens, 3.6M requests16 Oct: 95.6B tokens, 2.4M requests17 Oct: 70.4B tokens, 1.6M requests18 Oct: 65.1B tokens, 1.6M requests19 Oct: 134B tokens, 2.9M requests20 Oct: 158B tokens, 3.6M requests21 Oct: 155B tokens, 3M requests19 Sept3 Oct17 Oct21 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 12.9 (2026-10-18) ↗Coding Index: 26.8 (2026-10-18) ↗Agentic Index: 3.5 (2026-10-18) ↗
Compare this model with alternatives →