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Nemotron 3 5 Lightning

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openrouter.ai
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OpenRouter editorial sitemap
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Context

The capacity advertised for NVIDIA's Nemotron 3.5 Lightning does not describe every hosted endpoint. OpenRouter's September 11 snapshot listed a 262,144- context window for its standard endpoint and one million tokens for the free endpoint. Its guide also recorded different structured-output support between them. An application switching endpoints could therefore exceed the destination's input limit or lose a required response-format capability. The endpoint's supported limits determine what a request can use.

Terms in this piece · Glossary
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
  • mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
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