GPT-4.1 mini
OpenAI
Overall Trust Score
OpenAI's balanced GPT-4.1 variant offering good performance with efficient resource usage. Optimized for production workloads requiring quality outputs at reasonable cost.
Trust Vector
Performance & Reliability
Balanced performance with good speed. Suitable for most production workloads requiring reliable outputs without premium pricing.
task accuracy code76
task accuracy reasoning78
task accuracy general80
output consistency79
latency p50Value: 0.8s
latency p95Value: 1.6s
context windowValue: 128,000 tokens
uptime98
Security
Strong security posture with robust safety measures. Good balance of safety and usability.
prompt injection resistance84
jailbreak resistance85
data leakage prevention83
output safety86
api security85
Privacy & Compliance
Standard OpenAI privacy practices with SOC 2 compliance. 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 reasonable explainability. Moderate hallucination rate suitable for most applications.
explainability82
hallucination rate80
bias fairness78
uncertainty quantification79
model card quality85
training data transparency74
guardrails84
Operational Excellence
Excellent operational maturity with OpenAI's established infrastructure and ecosystem.
api design quality91
sdk quality93
versioning policy85
monitoring observability84
support quality87
ecosystem maturity94
license terms90
✨ Strengths
- •Balanced performance and cost efficiency
- •Fast response times (~0.8s p50) suitable for production
- •Large 128K context window for document processing
- •Good general knowledge (65% MMLU)
- •Strong OpenAI ecosystem and tooling support
- •Reliable uptime and infrastructure
⚠️ Limitations
- •Mid-tier coding performance (49.6% HumanEval)
- •30-day data retention period
- •Not HIPAA eligible
- •Moderate hallucination rate requires validation
- •Limited regional data residency options
- •Not suitable for highly specialized or complex tasks
📊 Metadata
Use Case Ratings
code generation
Good for typical coding tasks. 49.6% HumanEval indicates solid capability for common programming scenarios.
customer support
Well-suited for customer support with fast response times and good conversational ability.
content creation
Good for content creation with balanced quality and speed.
data analysis
Capable of moderate data analysis tasks. Sufficient for most business analytics.
research assistant
Good for research assistance with 65% MMLU showing solid knowledge base.
legal compliance
Adequate for basic legal tasks but not specialized legal applications.
healthcare
Not HIPAA eligible. Limited use for healthcare applications.
financial analysis
Good for standard financial analysis. Not suitable for complex modeling.
education
Well-suited for educational content and tutoring. Good balance of accuracy and accessibility.
creative writing
Good creative writing capabilities with natural language generation.