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OpenAI o1-mini

OpenAI

85·Strong

Overall Trust Score

OpenAI's efficient reasoning model with chain-of-thought capabilities at lower cost. Balanced performance for reasoning tasks with faster response times than o3.

reasoning
chain-of-thought
coding
education
balanced
cost-effective
Version: 2024-12
Last Evaluated: November 8, 2025
Official Website →

Trust Vector

Performance & Reliability

82

Good reasoning performance with faster inference than o3. Balanced for cost-sensitive reasoning tasks.

task accuracy code
84
Methodology
Industry-standard coding benchmarks
Evidence
HumanEval Benchmark
63.6% pass rate
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
task accuracy reasoning
81
Methodology
Mathematical reasoning benchmarks
Evidence
MATH Benchmark
78% on mathematical reasoning
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
task accuracy general
81
Methodology
Knowledge testing benchmarks
Evidence
MMLU Benchmark
60% on multitask language understanding
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
output consistency
83
Methodology
Internal testing
Evidence
OpenAI Internal Testing
Good consistency with reasoning traces
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
latency p50
Value: 1.8s
Methodology
Median latency
Evidence
OpenAI Documentation
~1.8s typical response
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
latency p95
Value: 3.6s
Methodology
95th percentile
Evidence
Community benchmarking
p95 ~3.6s
Date: 2025-01-10
Confidence: mediumLast verified: 2025-11-08
context window
Value: 128,000 tokens
Methodology
Official specification
Evidence
OpenAI API Documentation
128K tokens
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
uptime
98
Methodology
Historical uptime
Evidence
OpenAI Status
99.9% uptime
Date: 2025-02-01
Confidence: highLast verified: 2025-11-08

Security

85

Strong security with reasoning-enhanced safety.

prompt injection resistance
86
Methodology
OWASP LLM01 testing
Evidence
OpenAI Safety Testing
Strong resistance
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
jailbreak resistance
87
Methodology
Adversarial testing
Evidence
OpenAI Safety Evaluations
Robust safety mechanisms
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
data leakage prevention
83
Methodology
Policy analysis
Evidence
OpenAI Privacy Policy
API data not used for training
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
output safety
86
Methodology
Safety benchmarks
Evidence
OpenAI Safety Benchmarks
Comprehensive safety testing
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
api security
85
Methodology
API review
Evidence
OpenAI API Documentation
Standard API security
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08

Privacy & Compliance

84

Standard OpenAI privacy with 30-day retention.

data residency
Value: US (primary)
Methodology
Documentation review
Evidence
OpenAI Documentation
US infrastructure
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
training data optout
90
Methodology
Policy analysis
Evidence
OpenAI Privacy Policy
API data opt-out by default
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
data retention
Value: 30 days
Methodology
Terms review
Evidence
OpenAI Terms
30-day retention
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
pii handling
82
Methodology
Documentation review
Evidence
OpenAI Documentation
Customer responsible
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
compliance certifications
88
Methodology
Certification verification
Evidence
OpenAI Trust Portal
SOC 2 Type II, GDPR
Date: 2025-01-01
Confidence: highLast verified: 2025-11-08
zero data retention
75
Methodology
Policy review
Evidence
OpenAI Documentation
30-day retention
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08

Trust & Transparency

84

Excellent explainability via chain-of-thought. Good transparency.

explainability
90
Methodology
Reasoning transparency evaluation
Evidence
Chain-of-Thought
Exposed reasoning traces
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
hallucination rate
85
Methodology
Factual QA testing
Evidence
SimpleQA
Good factual accuracy
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
bias fairness
80
Methodology
Bias benchmarks
Evidence
OpenAI Safety
Bias testing applied
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
uncertainty quantification
84
Methodology
Qualitative assessment
Evidence
Model Behavior
Good uncertainty expression
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
model card quality
86
Methodology
Documentation review
Evidence
OpenAI Documentation
Comprehensive documentation
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
training data transparency
74
Methodology
Public disclosure review
Evidence
OpenAI Statements
General description
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
guardrails
87
Methodology
Safety system analysis
Evidence
Safety Systems
Comprehensive guardrails
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08

Operational Excellence

88

Excellent operational maturity with OpenAI ecosystem.

api design quality
91
Methodology
API review
Evidence
OpenAI API
RESTful API
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
sdk quality
93
Methodology
SDK review
Evidence
OpenAI SDKs
High-quality SDKs
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
versioning policy
85
Methodology
Policy review
Evidence
OpenAI Versioning
Clear versioning
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
monitoring observability
84
Methodology
Tool review
Evidence
OpenAI Dashboard
Usage dashboard
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-08
support quality
87
Methodology
Support assessment
Evidence
OpenAI Support
Email support
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08
ecosystem maturity
94
Methodology
Ecosystem analysis
Evidence
Ecosystem
Mature ecosystem
Date: 2025-01-01
Confidence: highLast verified: 2025-11-08
license terms
90
Methodology
Terms review
Evidence
OpenAI Terms
Clear terms
Date: 2024-12-15
Confidence: highLast verified: 2025-11-08

✨ Strengths

  • •Good coding performance (63.6% HumanEval)
  • •Chain-of-thought reasoning provides transparency
  • •Strong mathematical capabilities (78% MATH)
  • •Faster than o3 with lower cost
  • •Good balance of reasoning and speed
  • •Mature OpenAI ecosystem

⚠️ Limitations

  • •Higher latency than non-reasoning models (~1.8s p50)
  • •30-day data retention
  • •Not HIPAA eligible
  • •Reasoning overhead unnecessary for simple tasks
  • •Lower performance than o3 on complex tasks
  • •Premium pricing for reasoning capabilities

📊 Metadata

pricing:
input: $3.00 per 1M tokens
output: $12.00 per 1M tokens
notes: Mid-tier reasoning model pricing (pricing varies by tier and usage)
last verified: 2025-11-09
context window: 128000
languages:
0: English
1: Spanish
2: French
3: German
4: Italian
5: Portuguese
6: Japanese
7: Korean
8: Chinese
modalities:
0: text
api endpoint: https://api.openai.com/v1/chat/completions
open source: false
architecture: Transformer with chain-of-thought
parameters: Not disclosed

Use Case Ratings

code generation

84

Good coding (63.6% HumanEval) with reasoning transparency.

customer support

80

Reasoning overhead may be unnecessary for basic support.

content creation

82

Good quality but reasoning overhead for simple content.

data analysis

86

Strong analytical capabilities with reasoning traces.

research assistant

87

Excellent with reasoning transparency and good knowledge.

legal compliance

82

Good reasoning but 30-day retention may limit use.

healthcare

79

Not HIPAA eligible.

financial analysis

85

Good for financial modeling with reasoning traces.

education

89

Excellent for STEM with step-by-step reasoning.

creative writing

78

Reasoning overhead unnecessary for creative tasks.

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