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  1. Models
  2. Text
  3. NVIDIA

Nvidia Nemotron 3.5 Lightning

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. Thinking is disabled on this variant.

  • Reasoning
  • Tool Calling
  • Parallel Tool Calls

Added Aug 12, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.05
Output
$0.20
Cache read
$0.01
Compare provider prices

Specifications

Context window
1M
Max output
65.5K
Parameters
30B / 3B
Total / active
Avg output (7d)
140 tokens
Longer than 15% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

5.5

Intelligence Index: 5.5
Better than 4% of models compared

Coding Index

26.8

Coding Index: 26.8
Better than 35% of models compared

Agentic Index

3.5

Agentic Index: 3.5
Better than 33% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

0.8%

Better than 11% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

0.0%

Better than 7% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

507 Elo

Better than 21% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

646 Elo

Better than 29% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

3.0%

Better than 18% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

60.3%

Better than 49% of models compared

MLCR-AA

Medical long-context reasoning

2.2%

Better than 5% of models compared

Reasoning

HLE

Humanity's Last Exam

10.6%

Better than 50% of models compared

CritPt

Research-level physics reasoning

0.0%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

0.5%

Better than 33% of models compared

SciCode

Python programming for scientific computing

32.1%

Better than 10% of models compared

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 49% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

7.3%

Last updated Nov 1, 2026

Artificial Analysis

Providers

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