NVIDIA: Nemotron 3 Nano 30B A3B

Public pricingIntelligence 79/100Large memoryगहरी सोचटूल उपयोग

NVIDIA: Nemotron 3 Nano 30B A3B एक टेक्स्ट मॉडल है, जिसे कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows के लिए बनाया गया है। यह मजबूत coding प्रदर्शन، विश्वसनीय tool use और agent behavior, 262K tokens का context और कम लागत profile जोड़कर कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

Input

$0.05/1M

Output

$0.20/1M

Cached

$0.01/1M

Batch

$0.04/1M

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Technical specifications

Nemotron 3 Nano 30B A3B 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

    78.3

  • aime_2025

    89.1

  • livecodebench

    68.3

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 Nano 30B A3B

  • 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 Nano 30B A3B — 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 Nano 30B A3B costs roughly $12 per month. Input is $0.05 /1M tokens and output is $0.20 /1M tokens.
Nemotron 3 Nano 30B A3B 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 Nano 30B A3B 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 Nano 30B A3B was released in March 2026, with training data cut off around October 2025.
Models in a similar class include Nemotron 3 Super, Nemotron 3 Nano 30B A3B, Nemotron 3 Super. The "Similar models" section below this FAQ links into each.

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