What are the verified coding and reasoning benchmarks for NVIDIA: Nemotron 3 Ultra?

NVIDIA: Nemotron 3 Ultra achieves SWE-bench Verified: 58.2% (NVFP4 Quantized), LiveCodeBench: 53%, AIME: 77%. Verified sources: NVIDIA Nemotron 3 Ultra Architecture (NVIDIA).

How does NVIDIA: Nemotron 3 Ultra compare to rival frontier coding models on SWE-bench and pricing?

NVIDIA: Nemotron 3 Ultra achieves SWE-bench Verified: 58.2% at $0.5/$1.5 per 1M tokens. Direct peer comparison: Inkling (54.5% SWE-bench, $0.15/$0.6); MiniMax-M3 (58% SWE-bench, $0.25/$1); Qwen 3.8 27B (62% SWE-bench, $0.2/$0.8); K2 Horizon 375B A23B (59.8% SWE-bench, $0.4/$1.6).

Does Swarm isolate NVIDIA: Nemotron 3 Ultra code edits from other agents?

Yes. Swarm provisions isolated Git worktrees for every session and subagent, preventing file race conditions and keeping your main working tree clean until verification passes.

Can NVIDIA: Nemotron 3 Ultra be assigned to specific subagent roles?

Yes. In ~/.swarm/config.json, you can configure NVIDIA: Nemotron 3 Ultra as Primary/Planner (DAG task decomposition), Coder (implementation in isolated worktrees), or Finder (read-only symbol search).

NVIDIA: Nemotron 3 Ultra — Specs, Context & Capabilities

Q: What is the recommended Swarm multi-agent topology for NVIDIA: Nemotron 3 Ultra?

Swarm recommends NVIDIA: Nemotron 3 Ultra as Coder Subagent (Tier 2: Accelerated Systems Specialist). High code synthesis fidelity for performance-critical systems code and numerical computing. Best paired with: Gemini 3.8 Flash or Claude 3.7 Sonnet.

Q: How do I run NVIDIA: Nemotron 3 Ultra with Swarm?

Configure NVIDIA: Nemotron 3 Ultra via CLI using: swarm ctl model set --provider openrouter --model openrouter/nvidia/nemotron-3-ultra-550b-a55b, or switch models interactively inside the terminal TUI with /models.

NVIDIA: Nemotron 3 Ultra Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

58.2%

NVFP4 QuantizedNVIDIA Technical Report ↗

LiveCodeBench

53%

ThinkingLiveCodeBench ↗

LMSYS Coding Elo

1365Elo

Coding ArenaLMSYS Arena ↗

AIME 2024 / 2025

77%

ThinkingNVIDIA Technical Report ↗

Pricing ($ / 1M tokens)

$0.5/ $1.5

$0.15 cached readStandard API Pricing

What This Means in Real Software Development

Optimized for NVIDIA Blackwell hardware with cutting-edge NVFP4 4-bit floating point precision.
58.2% on SWE-bench Verified, excelling at systems programming, CUDA kernels, and C++ refactors.
77.0% on AIME confirms strong mathematical and logic reasoning.
Available on Fireworks AI with hardware-accelerated throughput.

Swarm Multi-Agent Topology

Tier 2: Accelerated Systems SpecialistRole: Coder Subagent

Best Paired With: Gemini 3.8 Flash or Claude 3.7 Sonnet

High code synthesis fidelity for performance-critical systems code and numerical computing.

Git Worktree Isolation Advantage:

Executes isolated feature work inside dedicated Git worktrees.

What Developers & Practitioners Are Saying

Real-world field observations, production strengths, and developer consensus

Field Consensus

"NVIDIA's ultra-optimized inference model leveraging NVFP4 quantization on Blackwell architectures for extreme throughput."

Verified Real-World Strengths

Superb inference efficiency and throughput on NVIDIA hardware
Strong numerical computing, CUDA, and systems programming comprehension
High mathematical reasoning scores (77.0% AIME)

Production Caveats & Gaps

Requires modern NVIDIA GPU infrastructure for peak NVFP4 benefits

Primary Sources & Methodology Citations

NVIDIA Nemotron 3 Ultra Architecture — NVIDIA (January 2026)

Head-to-Head Frontier Comparisons: NVIDIA: Nemotron 3 Ultra vs Rivals

Standardized, side-by-side benchmark & economics comparison against peer models

Flagship Comparative Matrix

Model	Role / Tier	SWE-bench	LiveCodeBench	LMSYS Elo	AIME	Input / Output
NVIDIA: Nemotron 3 UltraOpenRouterCurrent	Tier 2: Accelerated Systems Specialist	58.2%	53%	1365	77%	$0.5 / $1.5
InklingIndependent Compare NVIDIA: Nemotron 3 Ultra vs Inkling →	Tier 2: Code Search & Discovery Specialist	54.5%	47%	1305	—	$0.15 / $0.6
MiniMax-M3MiniMax Compare NVIDIA: Nemotron 3 Ultra vs MiniMax-M3 →	Tier 2: Documentation & Test Specialist	58%	50.5%	1320	—	$0.25 / $1
Qwen 3.8 27BQwen Compare NVIDIA: Nemotron 3 Ultra vs Qwen 3.8 27B →	Tier 2: Open-Weights Specialist	62%	54.5%	1342	—	$0.2 / $0.8
K2 Horizon 375B A23BIndependent Compare NVIDIA: Nemotron 3 Ultra vs K2 Horizon 375B A23B →	Tier 2: MoE Systems Specialist	59.8%	52%	1330	—	$0.4 / $1.6

Explore All AI Model Comparisons Hub (NVIDIA: Nemotron 3 Ultra & Flagship Peers) →

NVIDIA: Nemotron 3 Ultra model overview

NVIDIA: Nemotron 3 Ultra is listed in the public Swarm catalog through OpenRouter. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.

Provider: OpenRouter
Family: OpenRouter
Context window: 262.1K tokens
Thinking support: off · medium · high
Availability status: Available
Catalog ID: openrouter/nvidia/nemotron-3-ultra-550b-a55b

Text input
Text output
Reasoning
Tools
Structured output
JSON

Run NVIDIA: Nemotron 3 Ultra in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

$swarm ctl model set --provider openrouter --model openrouter/nvidia/nemotron-3-ultra-550b-a55b

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign NVIDIA: Nemotron 3 Ultra to specialized system roles in ~/.swarm/config.json:

Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
Coder Subagent: Generates code and unit tests inside private Git worktrees.
Finder Subagent: Performs read-only code search, symbol discovery, and mapping.

System Agent Roles →Why Swarm Architecture →