GPT-5.6 (Sol / Terra / Luna) is now evaluated on TrustVector โ€” with day-1 independent verification, incl. METR's benchmark-cheating findings.

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Evaluation record ยท nemotron-ultra-253b

Nemotron Ultra 253B

v20251101

NVIDIA

Modelsupersededcodinggpu-acceleratedenterprise
87
Strong
About This Model

253B parameter model from NVIDIA's Llama-3.1-based Nemotron line, now superseded: NVIDIA discontinued this line in favor of the native Nemotron 3 family, whose rollout completed in June 2026 (Nano 2025-12, Super 2026-03, and Nemotron 3 Ultra โ€” a 550B total / 55B active MoE hybrid Mamba-Transformer โ€” on 2026-06-04). Historically 57.1% SWE-bench and 80.08% HumanEval, optimized for HPC and complex coding with GPU acceleration. New deployments should evaluate Nemotron 3 Ultra instead.

Last Evaluated: July 9, 2026
Official Website

Trust Vector Analysis

Dimension Breakdown

๐Ÿš€Performance & Reliability
+

Excellent performance for a 253B parameter model with strong coding capabilities. GPU acceleration provides competitive latency despite model size.

task accuracy code

Industry-standard coding benchmarks measuring real-world software engineering tasks

Evidence
SWE-bench Verified โ€” 57.1% resolution rate
HumanEval โ€” 80.08% accuracy on code generation
highVerified: 2026-07-09
task accuracy reasoning

Graduate-level reasoning benchmarks requiring multi-step problem solving

Evidence
MATH Benchmark โ€” 89.5% on mathematical reasoning
GPQA โ€” 62.3% on graduate-level questions
highVerified: 2026-07-09
task accuracy general

Comprehensive knowledge testing across domains

Evidence
MMLU โ€” 76.4% on comprehensive knowledge benchmark
NVIDIA Benchmarks โ€” Strong performance across general benchmarks
highVerified: 2026-07-09
output consistency

Internal testing with repeated prompts at various temperature settings

Evidence
NVIDIA Documentation โ€” Good consistency with GPU-optimized inference
mediumVerified: 2026-07-09
latency p50

Median latency for API requests with standard prompt sizes

Evidence
NVIDIA Performance Metrics โ€” Typical response time ~2.2s with GPU acceleration
mediumVerified: 2026-07-09
latency p95

95th percentile response time across diverse workloads

Evidence
Community benchmarking โ€” p95 latency ~3.8s
mediumVerified: 2026-07-09
context window

Official specification from provider

Evidence
NVIDIA Documentation โ€” 128K token context window
highVerified: 2026-07-09
uptime

Historical uptime data from official status page

Evidence
NVIDIA Status Page โ€” 99.2% uptime (last 90 days)
highVerified: 2026-07-09
๐Ÿ›ก๏ธSecurity
+

Solid security posture with enterprise-grade guardrails. Good protection for typical use cases.

prompt injection resistance

Testing against OWASP LLM01 prompt injection attacks

Evidence
NVIDIA Safety Documentation โ€” Good resistance to prompt injection attacks
mediumVerified: 2026-07-09
jailbreak resistance

Testing against adversarial prompt datasets

Evidence
NVIDIA Safety Research โ€” Robust safety guardrails implemented
mediumVerified: 2026-07-09
data leakage prevention

Analysis of privacy policies and data handling practices

Evidence
NVIDIA Privacy Policy โ€” Standard enterprise data handling practices
mediumVerified: 2026-07-09
output safety

Comprehensive safety testing across harmful content categories

Evidence
NVIDIA Safety Evaluations โ€” Comprehensive safety filtering and guardrails
highVerified: 2026-07-09
api security

Review of API security features and best practices

Evidence
NVIDIA API Documentation โ€” API key authentication, HTTPS, rate limiting
highVerified: 2026-07-09
๐Ÿ”’Privacy & Compliance
+

Good privacy posture with enterprise options. SOC 2 Type II certified with configurable data retention.

data residency

Review of enterprise documentation and privacy policies

Evidence
NVIDIA Enterprise Documentation โ€” Data residency options for enterprise customers
highVerified: 2026-07-09
training data optout

Analysis of privacy policy and data usage terms

Evidence
NVIDIA Privacy Policy โ€” No training on API data by default
highVerified: 2026-07-09
data retention

Review of terms of service and data retention policies

Evidence
NVIDIA Terms of Service โ€” Default 30-day retention, configurable for enterprise
highVerified: 2026-07-09
pii handling

Review of data protection capabilities and customer responsibilities

Evidence
NVIDIA Privacy Documentation โ€” Customer responsible for PII handling
mediumVerified: 2026-07-09
compliance certifications

Verification of compliance certifications and audit reports

Evidence
NVIDIA Trust Center โ€” SOC 2 Type II, GDPR compliant
highVerified: 2026-07-09
zero data retention

Review of data handling practices

Evidence
NVIDIA Enterprise Options โ€” Zero retention available for enterprise customers
mediumVerified: 2026-07-09
๐Ÿ‘๏ธTrust & Transparency
+

Good transparency with comprehensive documentation. Standard hallucination and bias performance for models of this size.

explainability

Evaluation of reasoning transparency and explanation capabilities

Evidence
NVIDIA Documentation โ€” Standard explanation capabilities
mediumVerified: 2026-07-09
hallucination rate

Testing on factual QA datasets and real-world usage

Evidence
Community Testing โ€” Moderate hallucination rate
mediumVerified: 2026-07-09
bias fairness

Evaluation on bias benchmarks and diverse demographic testing

Evidence
NVIDIA AI Ethics โ€” Responsible AI practices with bias mitigation
mediumVerified: 2026-07-09
uncertainty quantification

Assessment of confidence expression in outputs

Evidence
Model Behavior โ€” Basic uncertainty expression
mediumVerified: 2026-07-09
model card quality

Review of documentation completeness and clarity

Evidence
NVIDIA Model Documentation โ€” Good documentation with benchmarks and capabilities
highVerified: 2026-07-09
training data transparency

Review of public disclosures about training data

Evidence
NVIDIA Public Statements โ€” Limited disclosure of training data sources
mediumVerified: 2026-07-09
guardrails

Analysis of built-in safety mechanisms

Evidence
NVIDIA Safety Features โ€” Comprehensive safety guardrails
highVerified: 2026-07-09
โš™๏ธOperational Excellence
+

Excellent operational maturity leveraging NVIDIA's GPU ecosystem. Strong support and comprehensive monitoring tools.

api design quality

Review of API design, consistency, and feature completeness

Evidence
NVIDIA API Documentation โ€” RESTful API with comprehensive features
highVerified: 2026-07-09
sdk quality

Review of SDK quality, documentation, and maintenance

Evidence
NVIDIA SDKs โ€” Official SDKs for Python, C++, actively maintained
highVerified: 2026-07-09
versioning policy

Review of versioning policy and historical practices

Evidence
NVIDIA API Versioning โ€” Clear versioning policy
NVIDIA Nemotron 3 Announcement โ€” Llama-3.1-based Nemotron line discontinued in favor of the native Nemotron 3 family (announced 2025-12-15)
NVIDIA Nemotron 3 Ultra release โ€” Nemotron 3 rollout complete: Nemotron 3 Ultra (550B total / 55B active MoE hybrid Mamba-Transformer, open weights) released 2026-06-04 as the direct successor to this model
highVerified: 2026-07-09
monitoring observability

Review of available monitoring tools and metrics

Evidence
NVIDIA Console โ€” Comprehensive monitoring with GPU metrics
highVerified: 2026-07-09
support quality

Assessment of documentation, community, and support responsiveness

Evidence
NVIDIA Support โ€” Enterprise support with SLAs available
highVerified: 2026-07-09
ecosystem maturity

Analysis of third-party integrations and tools

Evidence
NVIDIA Ecosystem โ€” Strong ecosystem with CUDA integration
highVerified: 2026-07-09
license terms

Review of licensing terms and restrictions

Evidence
NVIDIA Terms of Service โ€” Standard commercial terms, enterprise agreements available
highVerified: 2026-07-09
Strengths
  • +Massive 253B parameters for complex tasks
  • +Excellent coding with 80.08% HumanEval
  • +GPU-accelerated inference for competitive latency
  • +Strong NVIDIA ecosystem integration
  • +SOC 2 Type II certified
  • +Comprehensive monitoring with GPU metrics
Limitations
  • !Higher compute requirements due to model size
  • !Not HIPAA eligible by default
  • !Limited training data transparency
  • !30-day default data retention (not ephemeral)
  • !Moderate latency (2.2s p50) despite GPU acceleration
  • !Smaller context window (128K) compared to competitors
  • !Superseded: NVIDIA discontinued the Llama-3.1-based Nemotron line; its successor Nemotron 3 Ultra (550B MoE) shipped 2026-06-04, completing the Nemotron 3 family rollout
Metadata
pricing
input: $0.60 per 1M tokens
output: $1.80 per 1M tokens
notes: Competitive pricing with GPU-optimized inference available. Pricing for this superseded model not re-verifiable against current NVIDIA pages as of 2026-07-09 โ€” confirm availability and rates before procurement.
last verified: 2025-11-09
context window: 128000
languages
0: English
1: Spanish
2: French
3: German
4: Chinese
5: Japanese
6: Korean
7: Portuguese
8: Italian
modalities
0: text
api endpoint: https://api.nvidia.com/v1/nemotron
open source: false
architecture: Transformer-based with GPU-optimized inference
parameters: 253 billion

Use Case Ratings

code generation

Excellent coding with 57.1% SWE-bench and 80.08% HumanEval. Strong performance on GPU-accelerated workloads.

customer support

Good conversational capabilities but not specialized for customer support scenarios.

content creation

Solid content generation capabilities with good structure.

data analysis

Strong analytical capabilities, especially for GPU-accelerated data processing.

research assistant

Good research capabilities with comprehensive knowledge base.

legal compliance

Good privacy posture with SOC 2 Type II. Enterprise options for compliance.

healthcare

SOC 2 certified but not HIPAA eligible by default. Enterprise options may be available.

financial analysis

Strong analytical and mathematical capabilities.

education

Good tutoring capabilities with clear explanations.

creative writing

Competent creative capabilities but not specialized for creative writing.