Pyyan / Compare / Nemotron 3.5 Lightning vs DeepSeek V4.1 Flash

Nemotron 3.5 Lightning vs DeepSeek V4.1 Flash

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Open-Weight Models · verified 13 Sept 2026

Nemotron 3.5 LightningNVIDIAcurrent
DeepSeek V4.1 FlashDeepSeekcurrent
3 slots left
SpecificationNemotron 3.5 LightningDeepSeek V4.1 Flash
SummaryHybrid Mamba and transformer, 3B active, and the training data ships with it.Twice the parameters of the Flash it replaces, and cheaper to run.
Context128K1M
Input ($/Mtok)Weights only$0.3
Output ($/Mtok)Weights only$1.2
LicenceOpenMDW-1.1MIT
Max output32K256K
Parameters30B total, 3B active552B total, 8B / 16B active
Released11 Aug 202610 Sep 2026
Model IDnvidia/nemotron-3.5-lightningdeepseek-flash
CategoryOpen-Weight ModelsOpen-Weight Models
Official—DeepSeek ↗

Highlighted rows are where these differ.

Nemotron 3.5 Lightning

  • 30B mixture of experts with roughly 3B active per token, hybrid Mamba and transformer
  • Weights, training data and recipes all released, under NVIDIA's OpenMDW-1.1 licence
  • Scores 24 on the Artificial Analysis Intelligence Index, up from 15 for Nemotron 3 Nano

Best for long-running agents.

Full spec sheet →

DeepSeek V4.1 Flash

  • 552B total, 8B active while reading the prompt and 16B while generating, with a 1M token context
  • DeepSeek says it beats V4-Pro; V4-Pro requests route to it from 14 September 2026
  • MIT licence, native image input, and a KV cache about a quarter the size of V4-Flash's

Best for cheap agentic coding with images.

Full spec sheet →