Nvidia's Nemotron 3 Super 120B A12B model from the March 2026 Nemotron 3 release. It uses a hybrid Mamba-Transformer MoE architecture and targets agentic and coding workloads with a 262K context window here.
Added Mar 1, 2026
Model weightsContext Window
262.1K
Max Output
16.4K
Avg output tokens (7d)
659 tokens
Input Price (Auto)
$0.050/1M
Output Price (Auto)
$0.25/1M
Cache Read (Auto)
$0.025/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.6
Coding Index
37.7
Agentic Index
4.1
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
3.8%
Better than 29% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
0 Elo
Better than 2% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
644 Elo
Better than 29% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
2.6%
Better than 21% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
65.7%
Better than 61% of models compared
Reasoning
HLE
Humanity's Last Exam
20.8%
Better than 72% of models compared
IFBench
Instruction-following benchmark
71.5%
Better than 88% of models compared
CritPt
Research-level physics reasoning
3.1%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.0%
Better than 17% of models compared
SciCode
Python programming for scientific computing
36.2%
Better than 17% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
24.3%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
87.0%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
80.0%
Better than 67% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
28.8%
Better than 71% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
67.8%
Better than 61% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
65.7%
Better than 61% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
7.2%
Last updated Sep 13, 2026
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