---
title: "Nvidia's open-weight Nemotron 3.5 Lightning trades size for speed"
url: https://www.parallelquant.com/posts/nvidia-s-open-weight-nemotron-3-5-lightning-trades-size-for-speed-add0a8
source_name: "The Decoder"
source_url: https://the-decoder.com/nvidias-open-weight-nemotron-3-5-lightning-prioritizes-speed-over-maximum-intelligence/
published: 2026-08-11T15:07:44.000Z
topics: ["llms", "open source"]
publisher: "Parallel Quant"
---

# Nvidia's open-weight Nemotron 3.5 Lightning trades size for speed

*2026-08-11 · Source: [The Decoder](https://the-decoder.com/nvidias-open-weight-nemotron-3-5-lightning-prioritizes-speed-over-maximum-intelligence/)*

Nvidia released Nemotron 3.5 Lightning, an open-weight model with 3.6 billion active parameters that reportedly matches OpenAI's gpt-oss-120b on the Intelligence Index despite being roughly four times smaller. It runs at nearly 670 tokens per second, making it the fastest model in its comparison set.

**Why it matters:** The release reflects a broader industry shift toward efficiency-optimized open models rather than chasing ever-larger parameter counts, useful for developers who need low-latency inference on cheaper hardware. It also puts competitive pressure on other open-weight releases, like OpenAI's gpt-oss line, on the speed-versus-intelligence tradeoff rather than raw benchmark scores alone.

**Topics:** llms, open source

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Read the original: https://the-decoder.com/nvidias-open-weight-nemotron-3-5-lightning-prioritizes-speed-over-maximum-intelligence/
Canonical: https://www.parallelquant.com/posts/nvidia-s-open-weight-nemotron-3-5-lightning-trades-size-for-speed-add0a8
Published by Parallel Quant — https://www.parallelquant.com