Nemotron 3.5 Lightning 30B A3B

Nemotron 3.5 Lightning 30B A3B is part of NVIDIA's open Nemotron family and is designed to act as a workhorse for long-running autonomous agents and sub-agent workflows. NVIDIA describes it as a hybrid architecture that combines Mamba-2, Mixture-of-Experts, and attention layers, with 30 billion total parameters of which roughly 3 billion are active per inference. This sparse activation pattern is intended to keep compute and latency low while still drawing on the capacity of a much larger model, making the system well suited to agentic pipelines that need fast, repeated calls.

A standout design choice is the very large context window that NVIDIA advertises, supporting up to one million tokens, which positions the model for tasks that require sustained reasoning across long documents or extended multi-step agent traces. The model is offered with English plus several major European and Asian languages alongside common coding languages, broadening its usefulness for mixed-language software work. In head-to-head benchmark comparisons surfaced by third parties, larger dense contemporaries such as Qwen3.6-35B-A3B have posted stronger results on reasoning and coding suites like GPQA, Humanity's Last Exam, MMLU-Pro, and SWE-bench, so practitioners should weigh raw capability against Nemotron's efficiency and agent-focused design when choosing a deployment.