NVIDIA AI & NIMopen-weight
Released: 2026-10-15

Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

Intelligence Index
81.0/ 100
Calibrated multi-domain composite
Throughput Speed
130tok/sec
Output streaming throughput
Time To First Token
280ms
Initial chunk server latency
LiveBench Contam-Free
71.3%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning74.5%
Coding & Repo Repair72.9%
Mathematics (AIME)72.1%
Data Analysis & Tables68.9%
Language & Comprehension70.5%
Instruction Following71.3%

Sourced Benchmark Evaluations (61)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
RULERNearing Saturation74.5%
84
2026-09-12independentSource ↗
MercuryDeprecated67.8%
10
2026-09-12independentSource ↗
MGSMNearing Saturation71.5%
65
2026-09-12independentSource ↗
MMLUSaturated82.6%
25
2026-09-12independentSource ↗
MMLU-ProNearing Saturation74.5%
75
2026-09-12independentSource ↗
MMLU-ReduxSaturated79.4%
25
2026-09-12independentSource ↗
MT-BenchNearing Saturation7.3%
75
2026-09-12independentSource ↗
MultiPL-EDeprecated70.8%
10
2026-09-12independentSource ↗
Needle-in-a-HaystackSaturated96.2%
44
2026-09-12independentSource ↗
OlympiadBenchActive61.7%
80
2026-09-12independentSource ↗
Omni-MATHDeprecated55.7%
10
2026-09-12independentSource ↗
OpenAI-MRCRActive68%
80
2026-09-12independentSource ↗
PutnamBenchActive39.2%
90
2026-09-12independentSource ↗
QASPERNearing Saturation67.2%
65
2026-09-12independentSource ↗
QuALITYNearing Saturation71.3%
78
2026-09-12independentSource ↗
AGIEvalSaturated67.6%
25
2026-09-12independentSource ↗
SCROLLSNearing Saturation64.8%
65
2026-09-12independentSource ↗
SimpleQAActive42.1%
90
2026-09-12independentSource ↗
SoohakActive57.2%
98
2026-09-12independentSource ↗
StructFlowBenchNearing Saturation60.6%
75
2026-09-12independentSource ↗
SuperGLUESaturated80.2%
25
2026-09-12independentSource ↗
SWE-benchDeprecated52.4%
10
2026-09-12independentSource ↗
SWE-bench ProActive47.7%
90
2026-09-12independentSource ↗
SWE-bench VerifiedSaturated60.1%
25
2026-09-12independentSource ↗
SWE-LancerDeprecated52.4%
20
2026-09-12independentSource ↗
TabMWPSaturated69.3%
25
2026-09-12independentSource ↗
Terminal-BenchActive53.9%
80
2026-09-12independentSource ↗
TruthfulQASaturated71.3%
25
2026-09-12independentSource ↗
WinoGrandeSaturated81.7%
28
2026-09-12independentSource ↗
ZeroSCROLLSNearing Saturation64.8%
78
2026-09-12independentSource ↗
MBPPSaturated81.6%
25
2026-09-12independentSource ↗
AgentIFNearing Saturation48.5%
80
2026-09-12independentSource ↗
AIMENearing Saturation71.5%
75
2026-09-12independentSource ↗
ARC-AGISaturated73.9%
25
2026-09-12independentSource ↗
ARC-AGI-2Nearing Saturation61.3%
75
2026-09-12independentSource ↗
ARC-AGI-3Active51.1%
93
2026-09-12independentSource ↗
BIG-Bench HardSaturated77%
25
2026-09-12independentSource ↗
CodeContestsDeprecated50.1%
10
2026-09-12independentSource ↗
CodeXGLUEDeprecated72.4%
23
2026-09-12independentSource ↗
CommonsenseQASaturated82.5%
28
2026-09-12independentSource ↗
ComplexBenchNearing Saturation58.5%
80
2026-09-12independentSource ↗
CyberSecEvalDeprecated69.3%
10
2026-09-12independentSource ↗
FireBenchActive59.9%
95
2026-09-12independentSource ↗
FrontierCodeActive44.7%
98
2026-09-12independentSource ↗
FrontierMathActive21.1%
98
2026-09-12independentSource ↗
GLUESaturated84.9%
28
2026-09-12independentSource ↗
GPQANearing Saturation71.3%
78
2026-09-12independentSource ↗
GSM-HardDeprecated72.3%
10
2026-09-12independentSource ↗
GSM8KSaturated81.3%
25
2026-09-12independentSource ↗
HumanEvalSaturated87.8%
25
2026-09-12independentSource ↗
HumanEval+Saturated83.2%
25
2026-09-12independentSource ↗
Humanity's Last ExamActive34.6%
93
2026-09-12independentSource ↗
IFEvalDeprecated69.9%
25
2026-09-12independentSource ↗
InfiniteBenchNearing Saturation68.9%
65
2026-09-12independentSource ↗
LiveCodeBenchSaturated63.1%
39
2026-09-12independentSource ↗
LongBenchNearing Saturation69.7%
65
2026-09-12independentSource ↗
LongBench-ProActive66.4%
80
2026-09-12independentSource ↗
MATHSaturated73.8%
25
2026-09-12independentSource ↗
MathArenaActive60.2%
99
2026-09-12independentSource ↗
MBPP+Nearing Saturation78.5%
65
2026-09-12independentSource ↗
LiveBench (Continuous)Active71.3%
94
2025-02-01independentSource ↗
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run nvidia-nemotron-3-5-super-vl

# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "nvidia-nemotron-3-5-super-vl",
    "messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
  }'

Evaluation & Sourcing Notes

Scores listed for Nemotron 3.5 Super VL represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.