NVIDIA · Model release
Data as of October 15, 2026 · How the score is built
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
Nemotron 3.5 Super VL 120B A12B will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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 changesCategory 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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #61 of 127Percentile 52ndWeight 22%4 benchmarksVerified | 44.2 | 4 benchmarks | Verified | |||
| CodingRank Not rankedWeight 20%4 benchmarksVerified | 40.2 | 4 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 73.0 | 1 benchmark | Verified | |||
| MultimodalRank Not rankedWeight 12%5 benchmarksVerified | 62.0 | 5 benchmarks | Verified | |||
| KnowledgeRank #73 of 184Percentile 61stWeight 12%3 benchmarksVerified | 51.8 | 3 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingRank #72 of 146Percentile 51stWeight 5%1 benchmarkVerified | 66.6 | 1 benchmark | Verified | |||
| MathWeight 5%1 benchmarkVerified | Score pending | 1 benchmark | Verified |
19 of 680 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic4/4 verified
- Coding4/4 verified
- Reasoning1/1 verified
- Multimodal5/5 verified
- Knowledge3/3 verified
- MultilingualNot measured
- Inst. Following1/1 verified
- Math1/1 verified
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
- Agentic#61/127
- CodingNot ranked
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#73/184
- MultilingualNot ranked
- Inst. Following#72/146
- MathNot ranked
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
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score51.8% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap38.1 behind | Weight26% ref. weight | Provider exact |
| SWE Multilingual | Score67.7% | Versus best verified row Best verified: Claude Opus 5.5 · 93.9% | Gap26.2 behind | Weight5% ref. weight | Provider exact |
| LiveCodeBench v6 | Score88.2% | Versus best verified row Best verified: Sakana Fugu-Ultra · 93.2% | Gap5 behind | WeightDisplay only | Provider exact |
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score71.1% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap24.9 behind | WeightDisplay only | Provider exact |
Agentic4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1 | Score66.7% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap26.1 behind | Weight8% ref. weight | Provider exact |
| BrowseComp | Score78% | Versus best verified row Best verified: Atria Dawn Preview · 92.5% | Gap14.5 behind | Weight8% ref. weight | Provider exact |
| τ³-bench resultsτ³-Bench Tool-Agent-User Evaluation | Score18.9% | Versus best verified row Best verified: Mercury 2.5 · 96.0% | Gap77.1 behind | Weight2% ref. weight | Provider exact |
| τ²-bench Airlineτ²-Bench Airline Domain | Score76.5% | Versus best verified row Best verified: Trinity-Large-Thinking · 88.0% | Gap11.5 behind | WeightDisplay only | Provider exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CritPtCritical Physics Tasks | Score10.9% | Versus best verified row Best verified: Muse Wonder Full · 32.9% | Gap22 behind | WeightFeeds overall | Provider exact |
Multimodal5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXivCharXiv Reasoning | Score80.8% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap12.7 behind | WeightWeighted 20% | Provider exact |
| BabyVision | Score29.6% | Versus best verified row Best verified: Qwen3.8 Max · 82.0% | Gap52.4 behind | WeightDisplay only | Provider exact |
| MMLongBench-Doc | Score62.8% | Versus best verified row Best verified: Nemotron 3.5 Super VL 120B A12B · 62.8% | GapBest verified | WeightDisplay only | Provider exact |
| V* | Score85.6% | Versus best verified row Best verified: Qwen3.6 Plus · 96.9% | Gap11.3 behind | WeightDisplay only | Provider exact |
| MathVision | Score78.2% | Versus best verified row Best verified: Qwen3.8 Max · 95.2% | Gap17 behind | WeightDisplay only | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score29.2% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap35.8 behind | Weight44% ref. weight | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score31.8% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap32.6 behind | Weight7% ref. weight | Provider exact |
| GPQA-DGPQA Diamond | Score89.5% | Versus best verified row Best verified: GPT-6 Astra · 96.0% | Gap6.5 behind | WeightDisplay only | Provider exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFBenchInstruction Following Benchmark | Score70.9% | Versus best verified row Best verified: MAI-Thinking-1 · 85% | Gap14.1 behind | WeightWeighted 70% | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Apex Shortlist | Score88.4% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 90.2% | Gap1.8 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 19 rowsLineage
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.
Base entry
Nemotron 3.5 Super VL 120B A12B NVFP4Nemotron 3.5 Super VL 120B A12B 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 parametersQuestions
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.