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Data

Data as of October 15, 2026 · How the score is built

CurrentOpen WeightReasoning

Released Oct 15, 20261M contextNVIDIA BF16 model card

Nemotron 3.5 Super VL 120B A12B

Decision readingNemotron 3.5 Super VL 120B A12B scores 49.5 out of 100 and ranks #101 of 224. This profile shows 19 source-displayable benchmark rows; its strongest eligible category is Agentic at #61. No comparable first-party API price is published in the catalog.

Released Oct 15, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

49.5/100

field median 49.8#101 of 224 ranked models

Public

#101of 224

Verified —

Price

API rate not published

input median $0.75No comparable first-party hosted token rate

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

1Mtokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Agentic ranks #61. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

19 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 19 displayable benchmark rows

Follow model changes

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #61 of 127Percentile 52ndWeight 22%4 benchmarksVerified
44.2
CodingRank Not rankedWeight 20%4 benchmarksVerified
40.2
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
73.0
MultimodalRank Not rankedWeight 12%5 benchmarksVerified
62.0
KnowledgeRank #73 of 184Percentile 61stWeight 12%3 benchmarksVerified
51.8
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank #72 of 146Percentile 51stWeight 5%1 benchmarkVerified
66.6
MathWeight 5%1 benchmarkVerified
Score pending

19 of 680 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic4/4 verified
  2. Coding4/4 verified
  3. Reasoning1/1 verified
  4. Multimodal5/5 verified
  5. Knowledge3/3 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math1/1 verified
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Nemotron 3.5 Super VL 120B A12B category percentile values

  • Agentic52nd percentile
  • CodingNot eligible
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge61st percentile
  • MultilingualNot eligible
  • Instruction following51st percentile
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#61/127
  2. CodingNot ranked
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#73/184
  6. MultilingualNot ranked
  7. Inst. Following#72/146
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding4 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore51.8%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap38.1 behindWeight26% ref. weight
SWE MultilingualScore67.7%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap26.2 behindWeight5% ref. weight
LiveCodeBench v6Score88.2%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap5 behindWeightDisplay only
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore71.1%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap24.9 behindWeightDisplay only
Agentic4 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score66.7%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap26.1 behindWeight8% ref. weight
BrowseCompScore78%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap14.5 behindWeight8% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore18.9%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap77.1 behindWeight2% ref. weight
τ²-bench Airlineτ²-Bench Airline DomainScore76.5%Versus best verified row

Best verified: Trinity-Large-Thinking · 88.0%

Gap11.5 behindWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
CritPtCritical Physics TasksScore10.9%Versus best verified row

Best verified: Muse Wonder Full · 32.9%

Gap22 behindWeightFeeds overall
Multimodal5 rows
Multimodal benchmark values, best verified comparison, weight, and source status
CharXivCharXiv ReasoningScore80.8%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap12.7 behindWeightWeighted 20%
BabyVisionScore29.6%Versus best verified row

Best verified: Qwen3.8 Max · 82.0%

Gap52.4 behindWeightDisplay only
MMLongBench-DocScore62.8%Versus best verified row

Best verified: Nemotron 3.5 Super VL 120B A12B · 62.8%

GapBest verifiedWeightDisplay only
V*Score85.6%Versus best verified row

Best verified: Qwen3.6 Plus · 96.9%

Gap11.3 behindWeightDisplay only
MathVisionScore78.2%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

Gap17 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore29.2%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap35.8 behindWeight44% ref. weight
HLE w/o toolsHumanity's Last Exam without toolsScore31.8%Versus best verified row

Best verified: Claude Opus 5.5 · 64.4%

Gap32.6 behindWeight7% ref. weight
GPQA-DGPQA DiamondScore89.5%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap6.5 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore70.9%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap14.1 behindWeightWeighted 70%
Math1 row
Math benchmark values, best verified comparison, weight, and source status
Apex ShortlistScore88.4%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 90.2%

Gap1.8 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 19 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Oct 15, 2026 · you are here

    Nemotron 3.5 Super VL 120B A12B

    Score 49.5 · Price not listed

Radar

Nemotron 3.5 Super VL 120B A12B release history

Full release history

Radar confirmed these at the source. Use Nemotron 3.5 Super VL 120B A12B in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Weights model ID
nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16NVIDIA BF16 model card
Context window
1MNVIDIA BF16 model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, image, videoNVIDIA BF16 model card
Output modalities
textNVIDIA BF16 model card
Parameters
Not sourced yet
Availability
Hugging Face · self-hosted inferenceNVIDIA BF16 model card
Cloud regions
Not tracked yet
Lifecycle
activeNVIDIA BF16 model card
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordNVIDIA Hugging Face model card
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Nemotron 3.5 Super VL 120B A12B ranks #101 of 224 on the public leaderboard with a score of 49.51/100. It does not yet have enough sourced coverage for a verified position.

Nemotron 3.5 Super VL 120B A12B is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Open BF16 reference weights with text, image, and video input and text output. NVIDIA documents up to 1M tokens shared by input and output, with deployment examples on four H100s or two GB200s. The benchmark recipes generally serve 256K context; GraphWalks uses 1M.

NVIDIA released the BF16 120B-total, 12B-active vision-language checkpoint on October 15, 2026 under OpenMDW 1.1. It combines Mamba-2, attention, MoE, a C-RADIO vision encoder, and native multi-token prediction. Benchmark values are NVIDIA-reported runs; the BF16 and NVFP4 columns remain separate. SciCode subtask accuracy is not main-problem resolve rate. MMLU-ProX uses a ten-language subset, GraphWalks combines 950 filtered prompts, and OSWorld uses the 361-task no-Google-Drive subset; these are not mapped to incompatible standard lanes. OCRBench v2 EN/ZH and Video-MME v2 stay separate from unversioned or pooled fields. Offline, protocol-ambiguous, and proxy results are not added as independent evidence.

Nemotron 3.5 Super VL 120B A12B sits in the Nemotron 3.5 Super VL family with Nemotron 3.5 Super VL 120B A12B NVFP4. 19 of 680 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #61, while its lowest eligible position is Knowledge at #73. particularly useful for coding agents, browser research, and computer-use workflows.

Last updated October 15, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Questions

How does Nemotron 3.5 Super VL 120B A12B perform overall in AI benchmarks?

Nemotron 3.5 Super VL 120B A12B ranks #101 out of 224 models on the public BenchAlign leaderboard, with a score of 49.51/100. Its evidence status is Estimated, and this profile shows 19 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Nemotron 3.5 Super VL 120B A12B good for knowledge and understanding?

Nemotron 3.5 Super VL 120B A12B ranks #73 out of 184 eligible models for knowledge and understanding, with a public category score of 51.8/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3.5 Super VL 120B A12B good for coding and programming?

Nemotron 3.5 Super VL 120B A12B has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Nemotron 3.5 Super VL 120B A12B good for mathematics?

Nemotron 3.5 Super VL 120B A12B has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Nemotron 3.5 Super VL 120B A12B good for reasoning and logic?

Nemotron 3.5 Super VL 120B A12B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Nemotron 3.5 Super VL 120B A12B good for agentic tool use and computer tasks?

Nemotron 3.5 Super VL 120B A12B ranks #61 out of 127 eligible models for agentic tool use and computer tasks, with a public category score of 44.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3.5 Super VL 120B A12B good for multimodal and grounded tasks?

Nemotron 3.5 Super VL 120B A12B has source-displayable benchmark coverage for multimodal and grounded tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Nemotron 3.5 Super VL 120B A12B good for instruction following?

Nemotron 3.5 Super VL 120B A12B ranks #72 out of 146 eligible models for instruction following, with a public category score of 66.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3.5 Super VL 120B A12B open source?

Nemotron 3.5 Super VL 120B A12B is an open-weight model from NVIDIA. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Which sibling models are related to Nemotron 3.5 Super VL 120B A12B?

Nemotron 3.5 Super VL 120B A12B belongs to the Nemotron 3.5 Super VL family. Related tracked variants include Nemotron 3.5 Super VL 120B A12B NVFP4. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Nemotron 3.5 Super VL 120B A12B have full benchmark coverage on BenchLM?

No. Nemotron 3.5 Super VL 120B A12B currently has 28 source-displayable rows across 680 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Nemotron 3.5 Super VL 120B A12B?

Nemotron 3.5 Super VL 120B A12B has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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Compare Nemotron 3.5 Super VL 120B A12B with every tracked model949 comparisons