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GPT-4o mini

OpenAI

81·Strong

Overall Trust Score

OpenAI's efficient multimodal model combining text and vision capabilities at competitive pricing. Designed for cost-sensitive applications requiring basic multimodal understanding.

multimodal
vision
cost-effective
fast
image-understanding
ocr
Version: 2024-07
Last Evaluated: November 8, 2025
Official Website →

Trust Vector

Performance & Reliability

71

Basic multimodal performance with fast inference. Good for simple vision + text tasks.

task accuracy code
68
Methodology
Coding benchmarks
Evidence
HumanEval
~32% pass rate (estimated)
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
task accuracy reasoning
70
Methodology
Mathematical benchmarks
Evidence
MATH
~45% mathematical reasoning
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
task accuracy general
72
Methodology
Knowledge testing
Evidence
MMLU
40.2% multitask understanding
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
output consistency
73
Methodology
Internal testing
Evidence
OpenAI Testing
Good consistency
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
latency p50
Value: 0.7s
Methodology
Median latency
Evidence
OpenAI Documentation
~0.7s typical
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
latency p95
Value: 1.4s
Methodology
95th percentile
Evidence
Community benchmarking
p95 ~1.4s
Date: 2024-08-01
Confidence: highLast verified: 2025-11-08
context window
Value: 128,000 tokens
Methodology
Official specification
Evidence
OpenAI API Documentation
128K context
Date: 2024-07-15
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

83

Good security with multimodal safety considerations.

prompt injection resistance
82
Methodology
Adversarial testing
Evidence
OpenAI Safety
Good resistance
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
jailbreak resistance
83
Methodology
Safety testing
Evidence
OpenAI Safety
Safety mechanisms
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
data leakage prevention
83
Methodology
Policy analysis
Evidence
OpenAI Privacy
API data not used for training
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
output safety
84
Methodology
Safety benchmarks
Evidence
OpenAI Safety
Comprehensive safety
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
api security
85
Methodology
Security review
Evidence
OpenAI API
Standard API security
Date: 2024-07-15
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: 2024-07-15
Confidence: highLast verified: 2025-11-08
training data optout
90
Methodology
Policy analysis
Evidence
OpenAI Privacy
API opt-out by default
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
data retention
Value: 30 days
Methodology
Terms review
Evidence
OpenAI Terms
30-day retention
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
pii handling
82
Methodology
Documentation review
Evidence
OpenAI Documentation
Customer responsible
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
compliance certifications
88
Methodology
Certification verification
Evidence
OpenAI Trust
SOC 2, GDPR
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
zero data retention
75
Methodology
Policy review
Evidence
OpenAI Documentation
30-day retention
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08

Trust & Transparency

81

Good transparency with multimodal safety considerations.

explainability
80
Methodology
Reasoning evaluation
Evidence
Model Behavior
Reasonable explanations
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
hallucination rate
78
Methodology
Factual QA testing
Evidence
SimpleQA
Moderate hallucination
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
bias fairness
79
Methodology
Bias benchmarks
Evidence
OpenAI Safety
Bias testing applied
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
uncertainty quantification
80
Methodology
Qualitative assessment
Evidence
Model Behavior
Basic uncertainty
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
model card quality
85
Methodology
Documentation review
Evidence
OpenAI Documentation
Good documentation
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
training data transparency
74
Methodology
Public disclosure
Evidence
OpenAI Statements
General description
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
guardrails
84
Methodology
Safety system analysis
Evidence
Safety Systems
Multimodal guardrails
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08

Operational Excellence

88

Excellent operational maturity with multimodal capabilities.

api design quality
91
Methodology
API review
Evidence
OpenAI API
RESTful multimodal API
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
sdk quality
93
Methodology
SDK review
Evidence
OpenAI SDKs
High-quality SDKs
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
versioning policy
85
Methodology
Policy review
Evidence
OpenAI Versioning
Clear versioning
Date: 2024-07-15
Confidence: highLast verified: 2025-11-08
monitoring observability
84
Methodology
Tool review
Evidence
OpenAI Dashboard
Usage dashboard
Date: 2024-07-15
Confidence: mediumLast verified: 2025-11-08
support quality
87
Methodology
Support assessment
Evidence
OpenAI Support
Email support
Date: 2024-07-15
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: 2024-07-15
Confidence: highLast verified: 2025-11-08

✨ Strengths

  • •Multimodal (text + vision) capabilities
  • •Fast response times (~0.7s p50)
  • •Cost-effective for multimodal tasks
  • •Large 128K context window
  • •Good for image understanding and OCR
  • •Mature OpenAI ecosystem

⚠️ Limitations

  • •Limited knowledge depth (40.2% MMLU)
  • •Basic coding capabilities
  • •30-day data retention
  • •Not HIPAA eligible
  • •Moderate hallucination rate
  • •Performance trades for multimodal efficiency

📊 Metadata

pricing:
input: $0.15 per 1M tokens
output: $0.60 per 1M tokens
notes: Cost-effective multimodal pricing
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
1: image
2: vision
api endpoint: https://api.openai.com/v1/chat/completions
open source: false
architecture: Transformer-based multimodal
parameters: Not disclosed

Use Case Ratings

code generation

69

Basic coding capabilities.

customer support

83

Good for support with vision (image understanding).

content creation

80

Good multimodal content creation.

data analysis

76

Basic analysis with image/chart understanding.

research assistant

79

Good for research with multimodal inputs.

legal compliance

74

Basic legal tasks. 30-day retention may limit use.

healthcare

72

Not HIPAA eligible.

financial analysis

78

Good for chart/graph analysis.

education

84

Excellent for education with diagram understanding.

creative writing

78

Good creative writing with image context.

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