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NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 vs NVIDIA Nemotron 3 Nano 30B-A3B BF16

SpecNVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4NVIDIA Nemotron 3 Nano 30B-A3B BF16
Respan Index16.0 (#142)15.9 (#143)
Blended price per 1M$0.078$0.088
Context window1M1M
Input / output per 1M$0.05 / $0.16$0.05 / $0.2
Max output--
Inputtexttext
Released2026-08-112025-12-15

Respan Index by category

Each category is scored 0 to 100, and how far ahead the winner is. Leads under a point are close to even.

CategoryNVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4NVIDIA Nemotron 3 Nano 30B-A3B BF16
Coding1.7 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP44.2* NVIDIA Nemotron 3 Nano 30B-A3B BF16
Agents14.0 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP414.4* NVIDIA Nemotron 3 Nano 30B-A3B BF16
Reasoning20.1 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP421.1 NVIDIA Nemotron 3 Nano 30B-A3B BF16
Knowledge & language12.3 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP48.5 NVIDIA Nemotron 3 Nano 30B-A3B BF16
Human preference38.8 NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP434.1 NVIDIA Nemotron 3 Nano 30B-A3B BF16

* Estimated: no published scores in that category. How the Respan Index works

Benchmarks both report

NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 leads on 2 of the 3 benchmarks both report. Higher is better. Each score links to where it was published.

FAQ

Is NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 better than NVIDIA Nemotron 3 Nano 30B-A3B BF16?

NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 scores 16.0 on the Respan Index (#142), ahead of NVIDIA Nemotron 3 Nano 30B-A3B BF16 at 15.9 (#143). NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 leads on 2 of the 3 benchmarks both report.

Which is cheaper, NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 or NVIDIA Nemotron 3 Nano 30B-A3B BF16?

NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 lists at $0.05 input and $0.16 output per 1M tokens; NVIDIA Nemotron 3 Nano 30B-A3B BF16 at $0.05 and $0.2. NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 is 1.1x cheaper per token at list price.

Which has the larger context window?

Both accept 1M tokens of context.

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