Nvidia Nemotron 3.5 Lightning Thinking

Nvidia Nemotron 3.5 Lightning is an open-weight 30B-A3B hybrid Mamba-Transformer mixture-of-experts model for high-throughput agentic, coding, tool-use, instruction-following, and long-context workloads. This variant enables its reasoning trace.

  • Reasoning
  • Tool Calling
  • Parallel Tool Calls

Added Aug 12, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.050
Output
$0.20
Cache read
$0.010
Compare provider prices

Specifications

Context window
1M
Max output
65.5K
Parameters
30B / 3B
Total / active
Avg output (7d)
1.9K tokens
Longer than 90% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

12.9

Better than 55% of models compared

Coding Index

26.8

Better than 35% of models compared

Agentic Index

3.5

Better than 34% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

0.8%

Better than 12% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

505 Elo

Better than 24% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

641 Elo

Better than 31% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

3.0%

Better than 17% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

60.3%

Better than 51% of models compared

MLCR-AA

Medical long-context reasoning

1.1%

Better than 7% of models compared

Reasoning

HLE

Humanity's Last Exam

10.6%

Better than 51% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

0.5%

Better than 35% of models compared

SciCode

Python programming for scientific computing

32.1%

Better than 11% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

14.4%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

37.6%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

74.3%

Better than 55% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

60.3%

Better than 51% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

7.1%

Last updated Oct 12, 2026

Artificial Analysis

Providers

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