Capability Assessment

Nemotron 3 Super (free)

Nemotron 3 Super (free) is a cost-efficient model with long context support, optimized for advanced reasoning and agent workflows in enterprise environments.

Use Nemotron 3 Super (free) in your company

Data checked: 2026-03-19

Context Window
262,144
Input / 1M
$0.00
Output / 1M
$0.00

Model Positioning

NVIDIA lists Nemotron 3 Super (free) as a long context option with $0.00 per 1M tokens input pricing, $0.00 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • Latest profile indicates long context capacity for enterprise prompts and documents.
  • Current pricing band is cost-efficient: $0.00 per 1M tokens input and $0.00 per 1M tokens output.
  • Best-fit workloads include: Advanced reasoning, Agent workflows, Cost-sensitive deployment.
  • Use role-based access before broad team rollout.

Key Specs

Model ID
nvidia/nemotron-3-super-120b-a12b:free
Context Window
262,144 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$0.00 per 1M tokens
Output Price
$0.00 per 1M tokens
Provider
NVIDIA
Listing Date
2026-03-11

Strengths

  • Nemotron 3 Super (free) is suited for advanced reasoning.
  • Supports long context for multi-step prompts and larger working sets.
  • Pricing profile is cost-efficient, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Quality and latency should be benchmarked against your internal prompt set before broad rollout.
  • Long-context prompts can increase spend and latency if prompts are not scoped carefully.
  • Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

High-Fit Use Cases

  • Nemotron 3 Super (free) for complex analysis and long-form decision support.
  • Nemotron 3 Super (free) for tool-driven automation with governance checkpoints.
  • Nemotron 3 Super (free) for scaled deployment under strict budget constraints.
  • Nemotron 3 Super (free) for governed enterprise assistant workflows across teams.

Deployment Checklist

  • Define where Nemotron 3 Super (free) is default vs. fallback in your routing policy.
  • Enable role-based access and policy checks before opening access broadly.
  • Set spend guardrails by team and monitor weekly token consumption.
  • pilot this model on one workflow before wider enablement.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Start Smaller

Safe AI Use Case Selector

Choose your team and goals, then start with the AI use cases that fit best and carry the least risk.

You get

Recommended first use cases for your company.

Parameter Guidance

include_reasoning

Enable only where reasoning traces add operational value or review quality.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

reasoning

Increase reasoning effort only for complex tasks that justify extra cost.

response_format

Prefer structured output where responses feed internal systems.

Start Smaller

AI Risk Test

Test what can go wrong before teams start using AI loosely across the company.

You get

A short risk summary with the main gaps to close.

Knowledge Hub

Nemotron 3 Super (free) FAQs

Choose Nemotron 3 Super (free) when the workload aligns with advanced reasoning, agent workflows, cost-sensitive deployment and quality targets justify its pricing profile.
It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.
Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Use Nemotron 3 Super (free) in your company