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Nemotron Cascade 2 30B A3B

Nemotron Cascade 2 30B A3B has no overall index value yet because there are too few independent benchmark results.

PopularityRank 366 of 785

37out of 100-1 vs. last month

based on search, usage and attention

Summary

Nemotron Cascade 2 30B A3B is a post-trained reasoning checkpoint. NVIDIA describes it as developed from a base model in the Nemotron 3 Nano line and provides separate Think and Instruct modes. Its 30 billion total parameters and 3 billion active parameters combine sparse serving with deliberate control over planning.

The model card documents tool use and supports up to 1M context tokens. NVIDIA's standard vLLM example sets the maximum model length to 262,144 tokens.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 47 published benchmark results

Page 1 of 4

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

CritPt v2: Overall (Show measurement, test conditions, and source)
Source value
0.571428571428571
Score
0.571428571428571
Metric
pass@1 accuracy
Unit
%
Benchmark version
v2
Category
reasoning
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
disputed
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 0.6%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context
This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
80.4081632653061
Score
80.4081632653061
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 80.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
IFBench: Overall (Show measurement, test conditions, and source)
Source value
80.4081632653061
Score
80.4081632653061
Metric
IFBench prompt-level loose accuracy (pass@1)
Unit
%
Benchmark version
AA test set: 294 questions
Category
general
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-07
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 80.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context
The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.
Source Artificial Analysis
HMMT February 2026 (avg@8) (Show measurement, test conditions, and source)
Source value
81.06
Score
81.06
Metric
avg@8 exact-match answer accuracy; 214 of 264 sampled answers correct
Unit
%
Benchmark version
MathArena/hmmt_feb_2026
Category
mathematical reasoning
Direction
Higher is better
Sample
264
Source type
community-reported
Evaluator
Hugging Face community evaluation submission for MathArena HMMT February 2026
Status
active
Retrieved at
2026-10-17
Methodology
Community-reported result. Exact checkpoint nvidia/Nemotron-Cascade-2-30B-A3B, original BF16 without quantization; vLLM 0.23.0 on 8 NVIDIA H200 GPUs with FP32 Mamba SSM cache. Thinking enabled, temperature 1.0, top-p 1.0, maximum 131,072 output tokens per response, no tools. System prompt: ‘You are a helpful and harmless assistant. You are not allowed to use any tools.’ User prompt: ‘{problem} Please place your final answer inside \boxed{}.’ Grader: math-verify==0.9.0 on the last boxed answer after </think>. Eight independently sampled responses for each of the 33 MathArena problems.
Context
This is a community-submitted Hugging Face result, and the PR was still open and marked Ready to merge when captured. No raw generations or confidence interval were published. The 264 observations are 33 problems × 8 responses, not 264 independent problem statements.
Source Hugging Face community evaluation submission for MathArena HMMT February 2026
IOI 2025 Score@1 (Show measurement, test conditions, and source)
Source value
37.2
Score
37.2
Metric
normalized single-sample Score@1
Unit
%
Benchmark version
2025 (arXiv:2609.02849v2)
Direction
Higher is better
Source type
vendor-reported
Evaluator
NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
Status
active
Retrieved at
2026-10-18
Methodology
Vendor-reported result. Nemotron-Cascade-2-30B-A3B baseline. IOI 2025 Score@1 is reported as a normalized percentage; one sampled solution is used per task per run, and the paper averages final IOI results over 1,000 runs. The NVIDIA report says results were produced with “our evaluation harness” rather than copied from the corresponding model report. The checkpoint revision, quantization, serving route, prompt, and full runtime settings are not specified for this result.
Context
Vendor-reported NVIDIA report, © 2026 NVIDIA. The excerpt does not establish individual authors' employment; independent evaluation is not claimed. The 1,000 repeated runs are not task N or a confidence interval. Exact checkpoint revision, quantization, route, prompt, and runtime details are not supplied.
Source NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
ICPC 2025 Pass@1 (Show measurement, test conditions, and source)
Source value
42
Score
42
Metric
Pass@1, percentage of the 12 problems solved with one sampled solution
Unit
%
Benchmark version
2025 (arXiv:2609.02849v2)
Direction
Higher is better
Sample
12
Source type
vendor-reported
Evaluator
NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
Status
active
Retrieved at
2026-10-18
Methodology
Vendor-reported result. Nemotron-Cascade-2-30B-A3B baseline. ICPC 2025 Pass@1 is the percentage of the 12 problems solved by one sampled solution; final ICPC results are averaged over 1,000 runs. The NVIDIA report says results were produced with “our evaluation harness” rather than copied from the corresponding model report. The checkpoint revision, quantization, serving route, prompt, and full runtime settings are not specified for this result.
Context
Vendor-reported NVIDIA report, © 2026 NVIDIA. The excerpt does not establish individual authors' employment; independent evaluation is not claimed. The 12 problems are the task denominator, separate from 1,000 repeated runs; no confidence interval is published. Exact checkpoint revision, quantization, route, prompt, and runtime details are not supplied.
Source NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
LiveCodeBench Pro Pass@1 (Show measurement, test conditions, and source)
Source value
45.6
Score
45.6
Metric
Pass@1
Unit
%
Direction
Higher is better
Source type
vendor-reported
Evaluator
NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
Status
active
Retrieved at
2026-10-18
Methodology
Vendor-reported result. Nemotron-Cascade-2-30B-A3B baseline. LiveCodeBench Pro Pass@1 is the fraction of problems solved with one sampled solution; the paper averages the result over eight runs. The NVIDIA report says results were produced with “our evaluation harness” rather than copied from the corresponding model report. The LCB Pro benchmark year, snapshot, split, and item count, checkpoint revision, quantization, serving route, prompt, and full runtime settings are not specified for this result.
Context
Vendor-reported NVIDIA report, © 2026 NVIDIA. The excerpt does not establish individual authors' employment; independent evaluation is not claimed. The eight runs are repeated-run metadata; benchmark year, task N, snapshot, split, and confidence interval are not reported. Exact checkpoint revision, quantization, route, prompt, and runtime details are not supplied.
Source NVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2)
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
272.28
Score
272.28
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-11-02
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
272.67
Score
272.67
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
superseded
Retrieved at
2026-10-29
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-10-29-5a1b1cf41cd1. Source payload hash: 5a1b1cf41cd14d4fa7e1b5c737732505ff7f014395c8a19ff9385c13df09b106. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-10-29. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Context
This result is retained as historical evidence and is not interchangeable with current results.
Source Artificial Analysis
GDPval-AA: Overall (Show measurement, test conditions, and source)
Source value
272.28
Score
272.28
Metric
GDPval-AA Elo
Unit
Elo
Benchmark version
v2.1
Category
agentic
Task
overall
Task label
Overall
Direction
Higher is better
Source type
independent-evaluator
Evaluator
Artificial Analysis
Status
active
Retrieved at
2026-11-07
Methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Source model ID: artificial-analysis/9815da7d-70f4-44d6-b539-9ffef0faa152/nemotron-cascade-2-30b-a3b/nemotron-cascade-2-30b-a3b. Source model name: Nemotron Cascade 2 30B A3B. Provider reported by source: NVIDIA. Model snapshot: Nemotron Cascade 2 30B A3B. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-07-b96e3ffc8c5b. Source payload hash: b96e3ffc8c5b052aa56f96d05e89d02b8cc234a75085820fca0ca2a39e498274. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-07. Source cohort: artificial-analysis-gdpval-aa:v2.1:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology
Exact AA configuration: Nemotron Cascade 2 30B A3B (release nemotron-cascade-2-30b-a3b, row nemotron-cascade-2-30b-a3b, UUID 9815da7d-70f4-44d6-b539-9ffef0faa152, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. 220 tasks with one run each. AA scores outcomes through pairwise panel comparisons and anchors the Elo scale at DeepSeek V4.1 Flash (Max) at 1,600.. Harness: Artificial Analysis Stirrup. Agent: Stirrup agent. Tool policy: Agentic task completion with file outputs. Attempts: 220 tasks, one run per task; panel pairwise judgments. Reasoning: reasoning enabled
Source Artificial Analysis
IMO 2025 (Show measurement, test conditions, and source)
Source value
35
Score
35
Metric
points
Unit
points
Direction
Higher is better
Source type
vendor-reported
Evaluator
NVIDIA Nemotron Cascade 2 model card
Status
active
Retrieved at
2026-10-15
Methodology
Vendor-reported result. Cascade 2 column; the card explicitly labels this result as 35 points. Reasoning mode and evaluation prompt are not stated.
Source NVIDIA Nemotron Cascade 2 model card
IMO AnswerBench (Show measurement, test conditions, and source)
Source value
79.3
Score
79.3
Metric
unknown
Unit
No unit provided
Direction
Higher is better
Source type
vendor-reported
Evaluator
NVIDIA Nemotron Cascade 2 model card
Status
active
Retrieved at
2026-10-15
Methodology
Vendor-reported result. Cascade 2 column; this is the unbracketed result, not the tool-integrated alternative. Card omits score unit and inference settings.
Source NVIDIA Nemotron Cascade 2 model card

Page 1 of 4

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 7, 2026

Nemotron Cascade 2 30B A3BApertus 70B 37GLM-4.6 37Index-Translate-9B 37MiniMax M1 37

Method changes in the timeline, a jump at these points is no market event:

  1. 1November 1, 2026: Value only with search or usage data, 30-day attention

What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.

All specifications

Architecture

Parameters
30 billion
Source: Parameters
Active parameters
3 billion
Source: Active parameters

Input and output

Inputs
Text
Source: Inputs
Outputs
Text
Source: Outputs
Reasoning
Yes
Source: Reasoning
Tool calling
Yes
Source: Tool calling
Advertised context
Up to 1M tokens
Source: Advertised context

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Open weights
Source: Weights
License
NVIDIA Open Model License
Source: License

Further details

Documented vLLM configuration
262,144 tokens
Source: Documented vLLM configuration

Frequently asked questions about Nemotron Cascade 2 30B A3B

How large is the context window of Nemotron Cascade 2 30B A3B?

262,144 tokens. That is how much text Nemotron Cascade 2 30B A3B reads at once, about 390 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better
Nemotron Cascade 2 30B A3BRank 67 of 103262K
Kimi K2.6262K
Qwen 3.8 27B262K
Kimi K2.7 Code262K
Kimi K2.5262K
Nemotron 3 Ultra262K
Kimi K2 Thinking262K

Can I run Nemotron Cascade 2 30B A3B locally?

Yes, the weights are open.

Stated by NVIDIA

Open weights
yes
License
NVIDIA Open Model License
Parameters
30B
active per token
3B

Sources and data date

Show all 19 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

EvaluatorTest seriesComposite indicesRecorded active measurements
Artificial Analysis202

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Input

Documented modalities. Retrieved October 27, 2026.

Output

Documented modalities. Retrieved October 27, 2026.

Research statusResearch date October 15, 2026. 7 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published

benchmark-units-and-inference-settings

Note

The card gives model columns and some benchmark versions or modes, but omits general score units, prompting and sampling settings; bracketed tool-integrated values are kept separate from primary unbracketed values.

Additional sourceNVIDIA Nemotron Cascade 2 30B A3B model card (retrieved October 2, 2026; October 15, 2026; October 17, 2026) · NVIDIA Nemotron Cascade 2 model card · Editorial description reviewed October 2, 2026
Additional sourceArtificial Analysis (retrieved November 2, 2026)
Additional sourceArtificial Analysis (retrieved October 29, 2026; November 2, 2026; November 7, 2026)
Additional sourceArtificial Analysis (retrieved November 2, 2026; November 7, 2026)
Additional sourceNVIDIA Nemotron-Cascade 2 technical report (retrieved October 17, 2026)
Additional sourceHugging Face community evaluation submission for MathArena HMMT February 2026 (retrieved October 17, 2026)
Additional sourceNVIDIA report: Post-Training Language Models for Gold-Medal Performance in Coding Competitions (arXiv:2609.02849v2) (retrieved October 18, 2026)
Additional sourceB70 Optimization Lab, Nemotron-Cascade-2-30B-A3B Q4_K_M Rapid Snapshot (retrieved October 20, 2026)
Additional sourceModel metadata (retrieved October 17, 2026)12
Additional sourceNVIDIA Nemotron Cascade 2 research overview · Editorial description reviewed October 2, 2026
Additional sourceNemotron Cascade 2 technical report · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0