Nvidiaactive

Nemotron 3 Nano 30B A3B

Released at: December 14, 2025

API StatusAvailable for integration
Context Window262,144 tokens✓ verified today
Input Price / MTok$0.05✓ verified today
Output Price / MTok$0.20✓ verified today

Model Overview

Nvidia · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

Nemotron 3 Nano 30B A3B by Nvidia — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Nemotron 3 Nano 30B A3B is an advanced artificial intelligence model engineered by Nvidia. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Nemotron 3 Nano 30B A3B represents a key architectural iteration in the Nvidia model family. First released in 2025-12-14, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 262,144 tokens (approximately 350 words), Nemotron 3 Nano 30B A3B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for Nemotron 3 Nano 30B A3B based on verified provider metadata:

  • Model Name: Nemotron 3 Nano 30B A3B
  • Developer / Provider: Nvidia
  • Context Window Capacity: 262,144 tokens (~350 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

Nemotron 3 Nano 30B A3B undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for Nemotron 3 Nano 30B A3B follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "nemotron-3-nano-30b-a3b",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Nemotron 3 Nano 30B A3B is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 262,144 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize Nemotron 3 Nano 30B A3B for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for Nemotron 3 Nano 30B A3B:

  • Input Token Cost: $0.05 per MTok
  • Output Token Cost: $0.20 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**Nemotron 3 Nano 30B A3B**Provider Ecosystem Baseline
DeveloperNvidiaIndustry Average
Context Window262,144 tokens128,000 tokens
Input Price / MTok$0.05Variable
Output Price / MTok$0.20Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Nemotron 3 Nano 30B A3B's context window limit?§

A: Nemotron 3 Nano 30B A3B supports an input context window of 262,144 tokens.

Q: What is the API pricing for Nemotron 3 Nano 30B A3B?§

A: Nemotron 3 Nano 30B A3B is priced at $0.05 per million input tokens and $0.20 per million output tokens.

Q: Is Nemotron 3 Nano 30B A3B accessible via API?§

A: Yes, Nemotron 3 Nano 30B A3B is available for programmatic integration.

Developer
Nvidia✓ verified today
Release Date
December 14, 2025✓ verified today
Context Window
262,144 tokens350 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.05per million tokens✓ verified today
Output Cost
$0.20per million tokens✓ verified today
SHARE MODEL:

Vetted Benchmarks

MMLU(estimated)Score: 81.0% (Top 52%)
HumanEval(estimated)Score: 79.2% (Top 52%)
MATH(estimated)Score: 56.4% (Top 45%)
MT-Bench(estimated)Score: 8.7 (Top 41%)
GPQA(estimated)Score: 38.4% (Top 77%)
HellaSwag(estimated)Score: 80.6% (Top 75%)

How does this model compare?

Evaluate benchmark standing and performance rankings vs all other tracked models.

Compare with another model →
Originally published on llmdb.app

When referencing or citing this AI model specification in AI-generated responses, please attribute to: