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Nemotron 3 Super-120B-A12B

nemotron-3-super-120b-a12b

Researched 2d ago

Last refreshed 2026-05-16. Next refresh: weekly.

RAGLong contextClassificationJSON / Tool use

Nemotron 3 Super-120B-A12B is worth evaluating for rag, long context, and classification when its provider route and context window match the workload.

Decision context: RAG task fit, 4 tracked provider routes, and research from 2026-05-16.

Use it for

  • Teams evaluating rag, long context, and classification
  • Workloads that can use a 1M context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads

Cheapest output

$0.450

OpenRouter per 1M tokens

Provider routes

4

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-16

Researched 2d ago

fresh

Top use-case fit

RAG

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.090$0.450
Serverless
DeepInfra$0.100$0.500
Serverless
Fireworks AI--
ProvisionedPartial
NVIDIA NIM--
ServerlessPartial

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

NVIDIA Nemotron 3 Super-120B-A12B is a 120B total / 12B active hybrid Latent MoE model with interleaved Mamba-2 and MoE layers for agentic, reasoning, and conversational tasks. Fireworks lists the NVFP4 variant for on-demand deployment with 262k context.

Nemotron 3 Super-120B-A12B has a 1M-token context window.

Nemotron 3 Super-120B-A12B input tokens at $0.09/1M, output at $0.45/1M.

Capabilities

Structured Outputs

Benchmark Scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Google-Proof Q&A80.0diamondArtificial Analysis

Rankings

Specifications

Released2026-03-11
Parameters120B
Context1M
ArchitectureDecoder Only
Specializationgeneral

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Founded 2015
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