Nemotron 3.5 Lightning
NVIDIA released a free-to-download AI built for speed, meant for developers running many automated tasks at once.
This came out before trckr began following OpenRouter, so it was added on Nov 6 without an alert. Its release date comes from OpenRouter.
Key facts
- Released
- Aug 11, 2026
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.
Can I use it?
In an app
No app mentioned so far.
For developers
Developers can use it now through an API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet..
Download
Free to download and run on your own computer: it has Open weights: The model's files are public, so anyone can download it, run it on their own computer and build on it, usually for free. trckr labels these "Open"..
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $0.07
- per million tokensCached: $0.04
- Output
- $0.20
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 262K tokens
- about 200,000 words
From OpenRouter, checked .
Compare Nemotron 3.5 Lightning with
It came out 68 days after Nemotron 3 Ultra, the lab's previous model.
The details
An open Mixture of experts (MoE): A design that splits a big model into many "expert" parts and uses only a few for each word. It gives big-model quality at closer to small-model speed. model from NVIDIA with 3B active out of 30B total, aimed at high-throughput Agent: An AI that doesn't just answer but takes steps on its own to finish a task: searching the web, running code or using apps. workloads and specialized tasks. Its small active size makes it fast and cheap to run compared with larger models.
Model ID: The exact name developers type to use a model, like gpt-5-mini. New IDs often show up in a lab's systems before the official announcement, which is how trckr spots many releases early.
nvidia/nemotron-3.5-lightningTimeline
/OpenRouterFirst signal
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