NVIDIA: Nemotron 3 Super

Public pricingIntelligence 80/100Large memory์‹ฌ์ธต ์ถ”๋ก ๋„๊ตฌ ํ™œ์šฉ

NVIDIA: Nemotron 3 Super์€ ์—์ด์ „ํŠธ ์›Œํฌํ”Œ๋กœ์™€ ๋„๊ตฌ ํ™œ์šฉ์— ๋งž์ถ˜ ํ…์ŠคํŠธ ๋ชจ๋ธ์ž…๋‹ˆ๋‹ค. ์•ˆ์ •์ ์ธ ๋„๊ตฌ ์‚ฌ์šฉ๊ณผ ์—์ด์ „ํŠธ ๋™์ž‘ใ€๋‚ฎ์€ ์ง€์—ฐ๊ณผ ํšจ์œจ์  ์ถ”๋ก , 262K tokens์˜ ์ปจํ…์ŠคํŠธ, ์ €๋น„์šฉ ํŠน์„ฑ์„ ๊ฒฐํ•ฉํ•ด agent workflows, tool use, and orchestration์—์„œ ์•ˆ์ •์ ์ธ ์ž‘์—…์„ ๋•์Šต๋‹ˆ๋‹ค. ํŠนํžˆ ์ง€์—ฐ, ๋น„์šฉ, ์ฒ˜๋ฆฌ๋Ÿ‰๊ฐ€ ์ค‘์š”ํ•œ ๊ฒฝ์šฐ์— ์ž˜ ๋งž์œผ๋ฉฐ, ์•ˆ์ •์ ์ธ ์ถœ๋ ฅ, ์œ ์—ฐํ•œ ๋ฐฐํฌ, ํ™•์žฅ์„ฑ์„ ์ค‘์‹œํ•˜๋Š” ํŒ€์— ์‹ค์šฉ์ ์ž…๋‹ˆ๋‹ค. ์•ˆ์ •์ ์ธ ์‘๋‹ต, ๋„“์€ ๋ฌธ๋งฅ ์ฒ˜๋ฆฌ, ๊ทธ๋ฆฌ๊ณ  ์‹œ์ œํ’ˆ๋ถ€ํ„ฐ ์šด์˜๊นŒ์ง€ ์ด์–ด์ง€๋Š” ์œ ์—ฐ์„ฑ์ด ํ•„์š”ํ•  ๋•Œ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. ์•ˆ์ •์ ์ธ ์‘๋‹ต, ๋„“์€ ๋ฌธ๋งฅ ์ฒ˜๋ฆฌ, ๊ทธ๋ฆฌ๊ณ  ์‹œ์ œํ’ˆ๋ถ€ํ„ฐ ์šด์˜๊นŒ์ง€ ์ด์–ด์ง€๋Š” ์œ ์—ฐ์„ฑ์ด ํ•„์š”ํ•  ๋•Œ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค.

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 โ€” see cost at your exact volume.

What would Nemotron 3 Super cost you?

Adjust the workload to see your monthly bill.

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

โ€”

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 โ€” pick a vision-capable model instead.

FAQ

Nemotron 3 Super โ€” the questions we see most.

Pricing, capabilities, alternatives โ€” 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 โ€” 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?

Compare Nemotron 3 Super against 100+ other models.

Open the full wizard โ€” pick a use case, set your usage, and see side-by-side monthly costs in under a minute.