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Nvidiaactive

Nemotron 3 Ultra (batch)

Released at: June 4, 2026

API StatusAvailable for integration
Context Window512,288 tokens✓ verified today
Input Price / MTok$0.30✓ verified today
Output Price / MTok$1.80✓ verified today

Model Overview

Nvidia · Active Model

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

Nemotron 3 Ultra (batch) by Nvidia — Technical Architecture, Empirical Benchmarks & API Specs

1. Executive Summary & Core Positioning§

Nemotron 3 Ultra (batch) is an advanced artificial intelligence model engineered by Nvidia. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Nemotron 3 Ultra (batch) represents a key architectural iteration in the Nvidia model family. First released in 2026-06-04, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 512,288 tokens (approximately 683 words), Nemotron 3 Ultra (batch) 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 Ultra (batch) based on verified provider metadata:

  • Model Name: Nemotron 3 Ultra (batch)
  • Developer / Provider: Nvidia
  • Context Window Capacity: 512,288 tokens (~683 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 Ultra (batch) 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 Ultra (batch) 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-ultra-batch",
    "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 Ultra (batch) is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 512,288 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 Ultra (batch) 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 Ultra (batch):

  • Input Token Cost: $0.30 per MTok
  • Output Token Cost: $1.80 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 Ultra (batch)**Provider Ecosystem Baseline
DeveloperNvidiaIndustry Average
Context Window512,288 tokens128,000 tokens
Input Price / MTok$0.30Variable
Output Price / MTok$1.80Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Nemotron 3 Ultra (batch)'s context window limit?§

A: Nemotron 3 Ultra (batch) supports an input context window of 512,288 tokens.

Q: What is the API pricing for Nemotron 3 Ultra (batch)?§

A: Nemotron 3 Ultra (batch) is priced at $0.30 per million input tokens and $1.80 per million output tokens.

Q: Is Nemotron 3 Ultra (batch) accessible via API?§

A: Yes, Nemotron 3 Ultra (batch) is available for programmatic integration.

Developer
Nvidia✓ verified today
Release Date
June 4, 2026✓ verified today
Context Window
512,288 tokens683 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.30per million tokens✓ verified today
Output Cost
$1.80per million tokens✓ verified today
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Vetted Benchmarks

MMLU(estimated)Score: 87.4% (Top 29%)
HumanEval(estimated)Score: 86.6% (Top 35%)
MATH(estimated)Score: 67.8% (Top 34%)
MT-Bench(estimated)Score: 9.1 (Top 29%)
GPQA(estimated)Score: 49.2% (Top 31%)
HellaSwag(estimated)Score: 88.4% (Top 33%)

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Originally published on llmdb.app

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