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.
Added Aug 12, 2026
Model weightsContext Window
1.0M
Max Output
65.5K
Input Price (Auto)
$0.050/1M
Output Price (Auto)
$0.20/1M
Cache Read (Auto)
$0.010/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
12.9
Coding Index
26.8
Agentic Index
3.5
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
0.8%
Better than 14% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
500 Elo
Better than 26% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
624 Elo
Better than 36% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
3.0%
Better than 20% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
60.3%
Better than 54% 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 54% of models compared
CritPt
Research-level physics reasoning
0.0%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 40% of models compared
SciCode
Python programming for scientific computing
32.1%
Better than 12% 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 54% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
6.2%
Last updated Sep 22, 2026
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