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NVIDIA

Nemotron 3.5 Lightning (30B A3B): benchmarks, price and rank

Nemotron 3.5 Lightning (30B A3B) from NVIDIA is 119th of 123 rated AI models on Spezia's leaderboard. It costs $0.08 in, $0.20 out per million tokens.

  • 119th of 123 rated models
  • Rating 368
  • Rated on 5 benchmarks
  • Open weights
  • Released Aug 11, 2026
  • 262,000 tokens of context

Where it is strongest

Not in the top tenth on any benchmark in use.

Where it falls behind

  • 24th of 24 on SciCode
  • 52nd of 56 on BrowseComp
  • 52nd of 56 on SWE-bench Verified

Price: $0.08 in, $0.20 out per million tokens.

Its headline results

The benchmarks that count most in the rating, with its place among the models measured the same way, and where each number came from.

  • BrowseComp37.0%

    Questions whose answers are hidden deep on the web and take many searches and pages to track down.

    52nd of 56. The maker's own number, from NVIDIA, via LLM Stats.

  • Humanity's Last Exam11.7%

    About 2,500 questions written by experts in more than a hundred fields to be as hard as they could make them, many needing a diagram or image.

    65th of 74. The maker's own number, from NVIDIA, via LLM Stats.

  • AA-LCR52%

    Questions that need reasoning across several long documents at once, about 100,000 tokens of text in all.

    17th of 19. The maker's own number, from NVIDIA, via LLM Stats.

  • SciCode32.6%

    Research coding problems written by scientists across 16 fields, from physics and chemistry to biology and materials science.

    24th of 24. The maker's own number, from NVIDIA, via LLM Stats.

  • SWE-bench Verified51.6%

    Real bug reports and feature requests from popular open-source Python projects. The model has to change the code so the project's hidden tests pass.

    52nd of 56. The maker's own number, from NVIDIA, via LLM Stats.

  • GPQA Diamond75.4%

    Graduate-level questions in biology, physics and chemistry, written by PhDs so that searching the web does not give the answer away.

    The maker's own number, from NVIDIA, via LLM Stats.

  • MMLU-Pro81.9%

    Twelve thousand multiple-choice questions across fourteen subjects, from law and medicine to engineering, with ten options each.

    34th of 56. The maker's own number, from NVIDIA, via LLM Stats.

Its full profile is in Spezia.

Every result with its source, what it costs per task, what jumped with its release, side by side with any other model, and answers to your questions about when to use it.

Models ranked near it

How the rating works, and every benchmark it uses: the model leaderboard.