NVIDIA: Nemotron 3 Super

Public pricingIntelligence 80/100Large memoryगहरी सोचटूल उपयोग

NVIDIA: Nemotron 3 Super एक टेक्स्ट मॉडल है, जिसे agent workflows और tool use के लिए बनाया गया है। यह विश्वसनीय tool use और agent behavior، कम latency और efficient inference, 262K tokens का context और कम लागत profile जोड़कर agent workflows, tool use, and orchestration में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

Input

$0.09/1M

Output

$0.45/1M

Cached

$0.03/1M

Batch

$0.04/1M

Calculate your Nemotron 3 Super bill.

Set your workload — see cost at your exact volume.

What would Nemotron 3 Super cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Nemotron 3 Super at a glance.

Memory

262,144

tokens

Max reply

32,768

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Mar 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu_pro

    83.63

  • livecodebench

    78.44

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Nemotron 3 Super

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Nemotron 3 Super — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Nemotron 3 Super costs roughly $25 per month. Input is $0.09 /1M tokens and output is $0.45 /1M tokens.
Nemotron 3 Super has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Nemotron 3 Super supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Nemotron 3 Super was released in March 2026, with training data cut off around October 2025.
Models in a similar class include Nemotron 3 Nano 30B A3B, Nemotron 3 Nano 30B A3B, Nemotron 3 Super. The "Similar models" section below this FAQ links into each.

Still unsure?

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