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Model profile · NVIDIA

Nemotron 3 Ultra

CurrentReleased Jun 4, 2026Open WeightReasoning1M context
Nemotron 3 Ultra scores 43.6 out of 100 and ranks #160 of 214. This profile shows 19 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #5. Published weights can be self-hosted, but infrastructure cost varies and is not a comparable API token rate.

Data as of July 31, 2026 · How the score is built

Strongest published evidence

Instruction Following ranks #5. A well-rounded choice across a range of tasks.

Validate before choosing

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

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

43.6/100

field median 57.3

#160 of 214 ranked models

Price

Self-hosted; infrastructure cost varies

input median $1

No comparable first-party hosted token rate

Speed

Not measured

field median 108 tok/s

Time to first token not measured

Context

1Mtokens

field median 256,000

Reported for this model; direct source link not stored

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 Ultra category percentile values

  • Agentic8th percentile
  • Coding25th percentile
  • ReasoningNot eligible
  • Knowledge9th percentile
  • MathNot eligible
  • Multilingual50th percentile
  • MultimodalNot eligible
  • Instruction following87th percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#118/128
  2. Coding#97/129
  3. ReasoningNot ranked
  4. Knowledge#50/55
  5. MathNot ranked
  6. Multilingual#7/13
  7. MultimodalNot ranked
  8. Inst. Following#5/32
Top decileTop quartileMid-fieldNot eligible

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. Agentic5/5 verified
  2. Coding5/5 verified
  3. Reasoning2/2 verified
  4. Knowledge5/5 verified
  5. MathNot measured
  6. Multilingual1/1 verified
  7. MultimodalNot measured
  8. Inst. Following1/1 verified
Verified sourceProvisionalNot measured

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
Not published
Context window
1M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

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

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 #118 of 128Percentile 8thWeight 22%5 benchmarksVerified33.0
CodingRank #97 of 129Percentile 25thWeight 20%5 benchmarksVerified43.4
ReasoningRank Not rankedWeight 17%2 benchmarksVerified85.1
KnowledgeRank #50 of 55Percentile 9thWeight 12%5 benchmarksVerified53.1
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualRank #7 of 13Percentile 50thWeight 7%1 benchmarkVerified47.4
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingRank #5 of 32Percentile 87thWeight 5%1 benchmarkVerified91.9

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.

Coding5 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore71.9%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap24.1 behindWeightWeighted 16%
SciCodeScientific Code BenchmarkScore44.6%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap15.5 behindWeightWeighted 16%
SWE MultilingualScore67.7%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

Gap21.8 behindWeightDisplay only
LiveCodeBench v6Score89.0%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap4.2 behindWeightDisplay only
Terminal-Bench 2.0Score56.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap35.5 behindWeightDisplay only
Agentic5 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score56.4%Versus best verified row

Best verified: GPT-5.6 Sol · 91.9%

Gap35.5 behindWeightWeighted 38%
BrowseCompScore44.4%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap47.8 behindWeightWeighted 28%
PinchBenchScore90.0%Versus best verified row

Best verified: Nemotron 3 Ultra · 90.0%

GapBest verifiedWeightDisplay only
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore70.9%Versus best verified row

Best verified: Mistral Medium 3.5 128B · 91.4%

Gap20.5 behindWeightDisplay only
HLE w/ toolsHumanity's Last Exam with toolsScore37.4%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap27.3 behindWeightDisplay only
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score61.9%Versus best verified row

Best verified: Qwen3.5 397B · 63.2%

Gap1.3 behindWeightWeighted 38%
CritPtCritical Physics TasksScore3.1%Versus best verified row

Best verified: GLM-5.2 · 20.9%

Gap17.8 behindWeightDisplay only
Knowledge5 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore26.7%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

Gap38 behindWeightWeighted 45%
MMLU-ProMassive Multitask Language Understanding ProfessionalScore86.8%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap2.8 behindWeightWeighted 30%
GPQAGraduate-Level Google-Proof Q&AScore87%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap8.5 behindWeightWeighted 7%
GPQA-DGPQA DiamondScore87.0%Versus best verified row

Best verified: Sakana Fugu-Ultra · 95.5%

Gap8.5 behindWeightDisplay only
HLE w/o toolsHumanity's Last Exam without toolsScore26.7%Versus best verified row

Best verified: Claude Mythos 5 · 59%

Gap32.3 behindWeightDisplay only
Multilingual1 row
Multilingual benchmark values, best verified comparison, weight, and source status
MMLU-ProXScore83%Versus best verified row

Best verified: Qwen3.7 Max · 87%

Gap4 behindWeightWeighted 100%
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore81.7%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap3.3 behindWeightWeighted 65%

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Base entry

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 Ultra ranks #160 of 214 on the public leaderboard with a score of 43.56/100. It does not yet have enough sourced coverage for a verified position.

Nemotron 3 Ultra 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.

Official exact-value snapshot from the nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 Hugging Face model card. BenchLM maps directly comparable values from NVIDIA's table and keeps provider-specific rows display-only where appropriate. NVIDIA's earlier announcement used approximate 500B/50B wording; the released checkpoint is 550B total / 55B active.

19 of 376 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Instruction Following at #5, while its lowest eligible position is Agentic at #118. a well-rounded choice across a range of tasks.

Radar

Nemotron 3 Ultra release history

Full release history

Frequently asked questions

How does Nemotron 3 Ultra perform overall in AI benchmarks?

Nemotron 3 Ultra ranks #160 out of 214 models on the public BenchAlign leaderboard, with a score of 43.56/100. 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 Ultra good for knowledge and understanding?

Nemotron 3 Ultra ranks #50 out of 55 eligible models for knowledge and understanding, with a public category score of 53.1/100. 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 Ultra good for coding and programming?

Nemotron 3 Ultra ranks #97 out of 129 eligible models for coding and programming, with a public category score of 43.4/100. 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 Ultra good for reasoning and logic?

Nemotron 3 Ultra 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 Ultra good for agentic tool use and computer tasks?

Nemotron 3 Ultra ranks #118 out of 128 eligible models for agentic tool use and computer tasks, with a public category score of 33/100. 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 Ultra good for instruction following?

Nemotron 3 Ultra ranks #5 out of 32 eligible models for instruction following, with a public category score of 91.9/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Ultra good for multilingual tasks?

Nemotron 3 Ultra ranks #7 out of 13 eligible models for multilingual tasks, with a public category score of 47.4/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Nemotron 3 Ultra open source?

Nemotron 3 Ultra 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.

Does Nemotron 3 Ultra have full benchmark coverage on BenchLM?

No. Nemotron 3 Ultra currently has 39 source-displayable rows across 376 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 Ultra?

Nemotron 3 Ultra has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Last updated July 31, 2026. Runtime fields remain blank until a sourced snapshot exists.

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