OpenAI o1
OpenAI
Overall Trust Score
Advanced reasoning model from OpenAI achieving 57.1% on SWE-bench and 79.2% on HumanEval. Features extended chain-of-thought reasoning for complex problem-solving and mathematical tasks.
Trust Vector
Performance & Reliability
Exceptional reasoning capabilities with extended chain-of-thought. Best for complex problem-solving requiring deep thinking. Higher latency due to reasoning overhead.
task accuracy code94
task accuracy reasoning96
task accuracy general91
output consistency92
latency p50Value: 4.5s
latency p95Value: 8.2s
context windowValue: 128,000 tokens
uptime99
Security
Strong security posture with enhanced reasoning-based safety. Good protection against common attacks.
prompt injection resistance89
jailbreak resistance90
data leakage prevention85
output safety92
api security89
Privacy & Compliance
Good privacy posture with SOC 2 certification. 30-day minimum retention for safety monitoring.
data residencyValue: US (enterprise options available)
training data optout92
data retentionValue: 30 days (minimum for abuse monitoring)
pii handling82
compliance certifications88
zero data retention82
Trust & Transparency
Excellent explainability via chain-of-thought reasoning. Transparent problem-solving process visible to users.
explainability95
hallucination rate88
bias fairness84
uncertainty quantification89
model card quality92
training data transparency80
guardrails93
Operational Excellence
Excellent operational maturity with well-designed APIs and mature ecosystem. Enterprise-ready with strong support.
api design quality93
sdk quality94
versioning policy90
monitoring observability89
support quality90
ecosystem maturity93
license terms91
✨ Strengths
- •Best-in-class reasoning with 78.3% GPQA Diamond
- •Visible chain-of-thought for transparent problem-solving
- •Exceptional mathematical capabilities (83% on AIME)
- •Strong coding performance (57.1% SWE-bench)
- •Excellent for complex analytical and research tasks
- •High explainability via reasoning traces
⚠️ Limitations
- •High latency (4.5s p50, 8.2s p95) due to reasoning overhead
- •Not suitable for real-time applications
- •30-day minimum data retention (not ephemeral)
- •Not HIPAA eligible
- •Higher cost due to extended reasoning compute
- •Reasoning overhead may be unnecessary for simple tasks
📊 Metadata
Use Case Ratings
code generation
Excellent coding with 57.1% SWE-bench and 79.2% HumanEval. Chain-of-thought helps with complex algorithms.
customer support
Good capabilities but high latency (4.5s) may impact customer experience. Better for complex issues.
content creation
Good content generation but reasoning focus may add unnecessary latency for creative tasks.
data analysis
Exceptional analytical capabilities with chain-of-thought reasoning. Best for complex analysis.
research assistant
Outstanding research capabilities with transparent reasoning. Excellent for complex research tasks.
legal compliance
Good reasoning for legal analysis but 30-day retention may be concern for some use cases.
healthcare
Good reasoning but not HIPAA eligible. 30-day retention may be concern for healthcare data.
financial analysis
Outstanding for complex financial modeling and analysis with transparent reasoning.
education
Exceptional for education with visible chain-of-thought. Perfect for teaching problem-solving.
creative writing
Competent but reasoning focus may reduce creative spontaneity. Higher latency for creative tasks.