GPT-4.1
OpenAI
Overall Trust Score
OpenAI's flagship GPT-4.1 model offering strong general-purpose capabilities across diverse tasks. The standard choice for production applications requiring reliable, high-quality outputs.
Trust Vector
Performance & Reliability
Strong general-purpose performance with good balance across coding, reasoning, and knowledge tasks. Flagship model for most production use cases.
task accuracy code82
task accuracy reasoning84
task accuracy general86
output consistency85
latency p50Value: 1.2s
latency p95Value: 2.4s
context windowValue: 128,000 tokens
uptime98
Security
Strong security posture with comprehensive safety systems. Robust protection against adversarial attacks.
prompt injection resistance87
jailbreak resistance88
data leakage prevention83
output safety87
api security85
Privacy & Compliance
Standard enterprise privacy practices with SOC 2 Type II certification. 30-day retention period.
data residencyValue: US (primary)
training data optout90
data retentionValue: 30 days
pii handling82
compliance certifications88
zero data retention75
Trust & Transparency
Good transparency with solid explainability. Lower hallucination rate than smaller models. Comprehensive safety systems.
explainability84
hallucination rate82
bias fairness79
uncertainty quantification81
model card quality87
training data transparency74
guardrails86
Operational Excellence
Excellent operational maturity with industry-leading ecosystem and developer experience.
api design quality92
sdk quality93
versioning policy86
monitoring observability85
support quality89
ecosystem maturity95
license terms90
✨ Strengths
- •Strong general-purpose performance (66.3% MMLU)
- •Good balance of quality and speed (~1.2s p50)
- •Large 128K context window for document processing
- •Mature ecosystem with extensive integrations
- •Reliable uptime and infrastructure (99.9%)
- •Comprehensive safety and security features
⚠️ Limitations
- •Moderate coding performance (48.1% HumanEval)
- •30-day data retention period
- •Not HIPAA eligible
- •Limited regional data residency options
- •Higher pricing than smaller models
- •Training data transparency limited
📊 Metadata
Use Case Ratings
code generation
Good coding capabilities for typical development tasks. 48.1% HumanEval suitable for standard programming.
customer support
Excellent for customer support with strong conversational abilities and good response times.
content creation
Strong content creation with natural language and good creativity.
data analysis
Good for data analysis and business intelligence tasks.
research assistant
Strong research capabilities with good knowledge base (66.3% MMLU).
legal compliance
Adequate for legal document analysis but requires human oversight.
healthcare
Not HIPAA eligible. Limited use for healthcare applications.
financial analysis
Good for financial analysis and reporting tasks.
education
Excellent for educational applications and tutoring.
creative writing
Strong creative writing with natural storytelling abilities.