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Nemotron Ultra 253B

NVIDIA

87·Strong

Overall Trust Score

Massive 253B parameter AI model from NVIDIA achieving 57.1% on SWE-bench and 80.08% on HumanEval. Optimized for high-performance computing and complex coding tasks with excellent GPU acceleration.

coding
gpu-accelerated
enterprise
soc-2-certified
large-model
nvidia-ecosystem
high-performance
Version: 20251101
Last Evaluated: November 8, 2025
Official Website →

Trust Vector

Performance & Reliability

92

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

task accuracy code
94
Methodology
Industry-standard coding benchmarks measuring real-world software engineering tasks
Evidence
SWE-bench Verified
57.1% resolution rate
Date: 2025-11-01
HumanEval
80.08% accuracy on code generation
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
task accuracy reasoning
91
Methodology
Graduate-level reasoning benchmarks requiring multi-step problem solving
Evidence
MATH Benchmark
89.5% on mathematical reasoning
Date: 2025-11-01
GPQA
62.3% on graduate-level questions
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
task accuracy general
90
Methodology
Comprehensive knowledge testing across domains
Evidence
MMLU
76.4% on comprehensive knowledge benchmark
Date: 2025-11-01
NVIDIA Benchmarks
Strong performance across general benchmarks
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
output consistency
89
Methodology
Internal testing with repeated prompts at various temperature settings
Evidence
NVIDIA Documentation
Good consistency with GPU-optimized inference
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
Note: Large model size provides good stability
latency p50
Value: 2.2s
Methodology
Median latency for API requests with standard prompt sizes
Evidence
NVIDIA Performance Metrics
Typical response time ~2.2s with GPU acceleration
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
latency p95
Value: 3.8s
Methodology
95th percentile response time across diverse workloads
Evidence
Community benchmarking
p95 latency ~3.8s
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
context window
Value: 128,000 tokens
Methodology
Official specification from provider
Evidence
NVIDIA Documentation
128K token context window
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
uptime
98
Methodology
Historical uptime data from official status page
Evidence
NVIDIA Status Page
99.2% uptime (last 90 days)
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08

Security

85

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

prompt injection resistance
87
Methodology
Testing against OWASP LLM01 prompt injection attacks
Evidence
NVIDIA Safety Documentation
Good resistance to prompt injection attacks
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
jailbreak resistance
86
Methodology
Testing against adversarial prompt datasets
Evidence
NVIDIA Safety Research
Robust safety guardrails implemented
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
data leakage prevention
82
Methodology
Analysis of privacy policies and data handling practices
Evidence
NVIDIA Privacy Policy
Standard enterprise data handling practices
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
output safety
88
Methodology
Comprehensive safety testing across harmful content categories
Evidence
NVIDIA Safety Evaluations
Comprehensive safety filtering and guardrails
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
api security
87
Methodology
Review of API security features and best practices
Evidence
NVIDIA API Documentation
API key authentication, HTTPS, rate limiting
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08

Privacy & Compliance

87

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

data residency
Value: US, EU (enterprise options)
Methodology
Review of enterprise documentation and privacy policies
Evidence
NVIDIA Enterprise Documentation
Data residency options for enterprise customers
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
training data optout
90
Methodology
Analysis of privacy policy and data usage terms
Evidence
NVIDIA Privacy Policy
No training on API data by default
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
data retention
Value: 30 days (configurable)
Methodology
Review of terms of service and data retention policies
Evidence
NVIDIA Terms of Service
Default 30-day retention, configurable for enterprise
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
pii handling
84
Methodology
Review of data protection capabilities and customer responsibilities
Evidence
NVIDIA Privacy Documentation
Customer responsible for PII handling
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
compliance certifications
89
Methodology
Verification of compliance certifications and audit reports
Evidence
NVIDIA Trust Center
SOC 2 Type II, GDPR compliant
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
zero data retention
85
Methodology
Review of data handling practices
Evidence
NVIDIA Enterprise Options
Zero retention available for enterprise customers
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08

Trust & Transparency

83

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

explainability
85
Methodology
Evaluation of reasoning transparency and explanation capabilities
Evidence
NVIDIA Documentation
Standard explanation capabilities
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
hallucination rate
82
Methodology
Testing on factual QA datasets and real-world usage
Evidence
Community Testing
Moderate hallucination rate
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
bias fairness
80
Methodology
Evaluation on bias benchmarks and diverse demographic testing
Evidence
NVIDIA AI Ethics
Responsible AI practices with bias mitigation
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
uncertainty quantification
81
Methodology
Assessment of confidence expression in outputs
Evidence
Model Behavior
Basic uncertainty expression
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
model card quality
87
Methodology
Review of documentation completeness and clarity
Evidence
NVIDIA Model Documentation
Good documentation with benchmarks and capabilities
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
training data transparency
76
Methodology
Review of public disclosures about training data
Evidence
NVIDIA Public Statements
Limited disclosure of training data sources
Date: 2025-11-01
Confidence: mediumLast verified: 2025-11-08
guardrails
88
Methodology
Analysis of built-in safety mechanisms
Evidence
NVIDIA Safety Features
Comprehensive safety guardrails
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08

Operational Excellence

89

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

api design quality
90
Methodology
Review of API design, consistency, and feature completeness
Evidence
NVIDIA API Documentation
RESTful API with comprehensive features
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
sdk quality
91
Methodology
Review of SDK quality, documentation, and maintenance
Evidence
NVIDIA SDKs
Official SDKs for Python, C++, actively maintained
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
versioning policy
87
Methodology
Review of versioning policy and historical practices
Evidence
NVIDIA API Versioning
Clear versioning policy
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
monitoring observability
88
Methodology
Review of available monitoring tools and metrics
Evidence
NVIDIA Console
Comprehensive monitoring with GPU metrics
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
support quality
89
Methodology
Assessment of documentation, community, and support responsiveness
Evidence
NVIDIA Support
Enterprise support with SLAs available
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
ecosystem maturity
88
Methodology
Analysis of third-party integrations and tools
Evidence
NVIDIA Ecosystem
Strong ecosystem with CUDA integration
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08
license terms
90
Methodology
Review of licensing terms and restrictions
Evidence
NVIDIA Terms of Service
Standard commercial terms, enterprise agreements available
Date: 2025-11-01
Confidence: highLast verified: 2025-11-08

✨ 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

📊 Metadata

pricing:
input: $0.60 per 1M tokens
output: $1.80 per 1M tokens
notes: Competitive pricing with GPU-optimized inference available
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

93

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

customer support

84

Good conversational capabilities but not specialized for customer support scenarios.

content creation

86

Solid content generation capabilities with good structure.

data analysis

91

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

research assistant

88

Good research capabilities with comprehensive knowledge base.

legal compliance

85

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

healthcare

83

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

financial analysis

89

Strong analytical and mathematical capabilities.

education

87

Good tutoring capabilities with clear explanations.

creative writing

84

Competent creative capabilities but not specialized for creative writing.