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Nemotron 3.5 Lightning completes tasks 5.36x faster than the most intelligent…

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Alex Cheema@alexocheema

Nemotron 3.5 Lightning completes tasks 5.36x faster than the most intelligent model that runs on the DGX Spark (Step 3.7 Flash) while retaining 78% Intelligence. Why is it 5.36x faster? Despite being a much smaller model, Lightning uses about the same number of output tokens per task as Flash (on average ~2% more). However, it runs much faster per token on decode on DGX Spark, accounting for the 5.36x overall speedup.

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In Alex Cheema's DGX Spark comparison, Nemotron 3.5 Lightning completed tasks 5.36 times as fast as Step 3.7 Flash. Cheema attributes the difference to faster text generation: Lightning produced roughly the same amount of output, averaging about 2% more. Comparison and chart.

The chart also shows a capability tradeoff. Lightning's local.ai Intelligence Index score was about 78% of Step's score. That ratio describes this index, not the percentage of tasks Lightning solved or a general measure of retained intelligence.

Terms in this piece · Glossary
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
  • 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.
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