Skip to main content
BenchLM
Data

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

CurrentOpen WeightReasoning

Released Oct 15, 20261M contextNVIDIA NVFP4 model card

Nemotron 3.5 Super VL 120B A12B NVFP4

Decision readingNemotron 3.5 Super VL 120B A12B NVFP4 is tracked, but not publicly ranked yet. The profile exposes 18 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

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

Unranked

field median 49.8Not eligible for a public rank

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

Instruction Following ranks #71. A well-rounded choice across a range of tasks.

Validate before choosing

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

Source-linked · 18 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 Not rankedWeight 22%4 benchmarksVerified
63.3
CodingRank Not rankedWeight 20%4 benchmarksVerified
39.4
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalRank Not rankedWeight 12%5 benchmarksVerified
59.5
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified
46.8
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank #71 of 146Percentile 52ndWeight 5%1 benchmarkVerified
68.1
MathWeight 5%1 benchmarkVerified
Score pending

18 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. ReasoningNot measured
  4. Multimodal5/5 verified
  5. Knowledge3/3 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math1/1 verified
Verified sourceProvisionalNot measured

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 ProScore51.3%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap38.6 behindWeight26% ref. weight
SWE MultilingualScore67%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap26.9 behindWeight5% ref. weight
LiveCodeBench v6Score87.4%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap5.8 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 2.1Score60.8%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap32 behindWeight8% ref. weight
BrowseCompScore77.5%Versus best verified row

Best verified: Atria Dawn Preview · 92.5%

Gap15 behindWeight8% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore17.8%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap78.2 behindWeight2% ref. weight
τ²-bench Airlineτ²-Bench Airline DomainScore75.8%Versus best verified row

Best verified: Trinity-Large-Thinking · 88.0%

Gap12.3 behindWeightDisplay only
Multimodal5 rows
Multimodal benchmark values, best verified comparison, weight, and source status
CharXivCharXiv ReasoningScore79.9%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap13.6 behindWeightWeighted 20%
BabyVisionScore29.5%Versus best verified row

Best verified: Qwen3.8 Max · 82.0%

Gap52.5 behindWeightDisplay only
MMLongBench-DocScore62.8%Versus best verified row

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

GapBest verifiedWeightDisplay only
V*Score86.0%Versus best verified row

Best verified: Qwen3.6 Plus · 96.9%

Gap11 behindWeightDisplay only
MathVisionScore77.8%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

Gap17.4 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore29%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap36 behindWeight44% ref. weight
HLE w/o toolsHumanity's Last Exam without toolsScore31.4%Versus best verified row

Best verified: Claude Opus 5.5 · 64.4%

Gap33 behindWeight7% ref. weight
GPQA-DGPQA DiamondScore89.9%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap6.1 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore71.5%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap13.5 behindWeightWeighted 70%
Math1 row
Math benchmark values, best verified comparison, weight, and source status
Apex ShortlistScore89.4%Versus best verified row

Best verified: DeepSeek V4 Pro 0813 · 90.2%

Gap0.8 behindWeightDisplay only

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

All 18 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 NVFP4

    Not publicly ranked · Price not listed

Radar

Nemotron 3.5 Super VL 120B A12B NVFP4 release history

Full release history

Radar confirmed these at the source. Use Nemotron 3.5 Super VL 120B A12B NVFP4 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.

API model ID
nvidia/nemotron-3.5-super-vl-120b-a12bNVIDIA Build NVFP4 endpoint
Context window
1MNVIDIA NVFP4 model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, image, videoNVIDIA NVFP4 model card
Output modalities
textNVIDIA NVFP4 model card
Parameters
Not sourced yet
Availability
Hugging Face · self-hosted inference · NVIDIA Build early accessNVIDIA NVFP4 model card
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordNVIDIA Build model listing
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.

We track Nemotron 3.5 Super VL 120B A12B NVFP4, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4 weights for self-hosted inference on DGX Spark, one H200, two H100s, or one GB200. NVIDIA's Build listing serves this quantized release in early access. Hardware and concurrency settings determine usable context.

NVIDIA released the NVFP4 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. This quantized variant remains outside general rankings; its own reported values are not copied from BF16.

Nemotron 3.5 Super VL 120B A12B NVFP4 sits in the Nemotron 3.5 Super VL family with Nemotron 3.5 Super VL 120B A12B. 18 of 680 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Instruction Following at #71. a well-rounded choice across a range of tasks.

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 NVFP4 perform overall in AI benchmarks?

Nemotron 3.5 Super VL 120B A12B NVFP4 has 18 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Nemotron 3.5 Super VL 120B A12B NVFP4 good for knowledge and understanding?

Nemotron 3.5 Super VL 120B A12B NVFP4 has source-displayable benchmark coverage for knowledge and understanding, 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 NVFP4 good for coding and programming?

Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4 good for mathematics?

Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4 good for agentic tool use and computer tasks?

Nemotron 3.5 Super VL 120B A12B NVFP4 has source-displayable benchmark coverage for agentic tool use and computer 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 NVFP4 good for multimodal and grounded tasks?

Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4 good for instruction following?

Nemotron 3.5 Super VL 120B A12B NVFP4 ranks #71 out of 146 eligible models for instruction following, with a public category score of 68.1/100. 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 NVFP4 open source?

Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4?

Nemotron 3.5 Super VL 120B A12B NVFP4 belongs to the Nemotron 3.5 Super VL family. Related tracked variants include Nemotron 3.5 Super VL 120B A12B. 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 NVFP4 have full benchmark coverage on BenchLM?

No. Nemotron 3.5 Super VL 120B A12B NVFP4 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 NVFP4?

Nemotron 3.5 Super VL 120B A12B NVFP4 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.

Watch Nemotron 3.5 Super VL 120B A12B NVFP4 in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 5,500+ readers.

Compare Nemotron 3.5 Super VL 120B A12B NVFP4 with every tracked model949 comparisons