Nvidia Nemotron 3.5 Super VL
NVIDIA’s open-weight 120B model (12B active) for reasoning, coding, tool use, document and GUI understanding, and video understanding. Text, images and video in; text out. A 262,144-token shared context window with responses limited to 16,384 tokens. OpenMDW 1.1 license.
- Reasoning
- Vision
- Video Input
- Tool Calling
- Structured Output
Added Oct 15, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.15
- Output
- $0.50
- Cache read
- $0.02
Specifications
- Context window
- 262.1K
- Max output
- 16.4K
- Parameters
- 120B / 12B
- Total / active
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.6
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
14.8%
Better than 34% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
2.0%
Better than 34% of models compared
AA-Briefcase v1.1
Agentic knowledge work (Elo)
999 Elo
Better than 44% of models compared
GDPval-AA v2.1
Economically valuable tasks (Elo)
1162 Elo
Better than 55% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
8.0%
Better than 33% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
69.0%
Better than 58% of models compared
MLCR-AA
Medical long-context reasoning
13.3%
Better than 45% of models compared
Reasoning
HLE
Humanity's Last Exam
30.7%
Better than 77% of models compared
CritPt
Research-level physics reasoning
10.6%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.0%
Better than 15% of models compared
SciCode
Python programming for scientific computing
47.8%
Better than 43% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
21.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
30.5%
Legacy benchmarks
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
69.0%
Better than 58% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
33.1%
Last updated Nov 4, 2026
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