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GPT-5

OpenAI

89·Strong

Overall Trust Score

OpenAI's latest flagship model with unified thinking capabilities, multimodal understanding, and enhanced reasoning. Successor to GPT-4o series.

general-purpose
multimodal
low-latency
ecosystem-leader
unified-thinking
audio-capable
Version: gpt-5-1210
Last Evaluated: November 7, 2025
Official Website →

Trust Vector

Performance & Reliability

95

Top-tier performance across all dimensions. Unified thinking system enables more consistent and reliable outputs. Lower latency than competitors.

task accuracy code
93
Methodology
Standard coding benchmarks
Evidence
HumanEval
92.5% on HumanEval benchmark
Date: 2024-12-10
Confidence: highLast verified: 2025-11-07
task accuracy reasoning
96
Methodology
Graduate and PhD-level reasoning benchmarks
Evidence
GPQA Diamond
72.1% on PhD-level science questions
Date: 2024-12-10
MATH-500
94.8% on advanced mathematics
Date: 2024-12-10
Confidence: highLast verified: 2025-11-07
task accuracy general
96
Methodology
Crowdsourced blind comparisons
Evidence
LMSYS Chatbot Arena
1342 ELO (Rank #1 overall)
Date: 2025-01-15
Confidence: highLast verified: 2025-11-07
output consistency
94
Methodology
Internal testing across temperature settings
Evidence
OpenAI Documentation
Unified thinking system improves consistency
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
latency p50
Value: 1.2s
Methodology
Platform-wide performance metrics
Evidence
OpenAI Platform Metrics
Median latency ~1.2s
Date: 2025-10-01
Confidence: highLast verified: 2025-11-07
latency p95
Value: 2.8s
Methodology
95th percentile response time
Evidence
Community benchmarking
p95 latency ~2.8s
Date: 2025-10-15
Confidence: highLast verified: 2025-11-07
context window
Value: 128,000 tokens
Methodology
Official specification
Evidence
OpenAI Documentation
128K token context window
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
uptime
98
Methodology
Historical uptime data
Evidence
OpenAI Status
99.9% uptime (last 90 days)
Date: 2025-11-01
Confidence: highLast verified: 2025-11-07

Security

85

Strong security with improved jailbreak resistance. Multi-layered safety systems provide robust output filtering.

prompt injection resistance
87
Methodology
Testing against OWASP LLM01 attacks
Evidence
OpenAI Safety Research
Improved prompt injection defenses over GPT-4
Date: 2024-12-15
Confidence: mediumLast verified: 2025-11-07
jailbreak resistance
88
Methodology
Adversarial prompt testing
Evidence
Community Testing
Strong resistance to known jailbreak patterns
Date: 2025-01-10
Confidence: mediumLast verified: 2025-11-07
data leakage prevention
82
Methodology
Policy review and data handling practices
Evidence
OpenAI Privacy Policy
No training on API data by default
Date: 2025-01-01
Confidence: mediumLast verified: 2025-11-07
output safety
90
Methodology
Safety testing across harmful content categories
Evidence
OpenAI Safety Evals
Enhanced safety systems with improved refusal accuracy
Date: 2024-12-10
Confidence: highLast verified: 2025-11-07
api security
85
Methodology
Review of API security features
Evidence
OpenAI Platform Docs
API key + OAuth2, HTTPS, rate limiting, organization controls
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07

Privacy & Compliance

84

Good privacy posture with strong enterprise controls. 30-day default retention (vs Anthropic's 0-day). Not HIPAA eligible.

data residency
Value: US, EU
Methodology
Review of enterprise documentation
Evidence
OpenAI Enterprise
Data residency options for enterprise customers
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
training data optout
90
Methodology
Policy review
Evidence
OpenAI Data Controls
API data not used for training by default, opt-in required
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
data retention
Value: 30 days
Methodology
Terms of service review
Evidence
OpenAI Terms
API logs retained for 30 days for abuse monitoring
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
Note: Zero retention available for enterprise customers
pii handling
80
Methodology
Review of data protection capabilities
Evidence
OpenAI Safety Tools
Customer responsible for PII handling, moderation API available
Date: 2025-01-01
Confidence: mediumLast verified: 2025-11-07
compliance certifications
88
Methodology
Verification of certifications
Evidence
OpenAI Trust Center
SOC 2 Type II, ISO 27001, GDPR compliant
Date: 2025-01-15
Confidence: highLast verified: 2025-11-07
Note: Not HIPAA eligible currently
zero data retention
85
Methodology
Enterprise feature review
Evidence
OpenAI Enterprise
Zero retention available for enterprise tier
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07

Trust & Transparency

89

Excellent transparency with unified thinking feature and comprehensive system card. Industry-leading hallucination prevention.

explainability
93
Methodology
Evaluation of reasoning transparency
Evidence
GPT-5 Unified Thinking
Unified thinking system exposes reasoning process
Date: 2024-12-10
Confidence: highLast verified: 2025-11-07
hallucination rate
88
Methodology
Factual accuracy testing
Evidence
SimpleQA Benchmark
42.7% accuracy (industry leading)
Date: 2024-10-01
Confidence: mediumLast verified: 2025-11-07
bias fairness
84
Methodology
Bias benchmarks and demographic testing
Evidence
OpenAI System Card
Regular bias testing and red-teaming
Date: 2024-12-10
Confidence: mediumLast verified: 2025-11-07
uncertainty quantification
87
Methodology
Qualitative confidence expression
Evidence
GPT-5 Capabilities
Better at expressing uncertainty than predecessors
Date: 2025-01-01
Confidence: mediumLast verified: 2025-11-07
model card quality
92
Methodology
Documentation completeness review
Evidence
GPT-5 System Card
Comprehensive system card with detailed evaluations
Date: 2024-12-10
Confidence: highLast verified: 2025-11-07
training data transparency
80
Methodology
Public disclosure review
Evidence
OpenAI Blog
General description, specific sources not disclosed
Date: 2024-12-10
Confidence: mediumLast verified: 2025-11-07
guardrails
91
Methodology
Safety mechanism analysis
Evidence
OpenAI Safety Systems
Multi-layer safety systems with improved accuracy
Date: 2024-12-15
Confidence: highLast verified: 2025-11-07

Operational Excellence

93

Industry-leading operational maturity with the most mature ecosystem. Excellent APIs, SDKs, and tooling.

api design quality
95
Methodology
API design and feature review
Evidence
OpenAI API
RESTful API with streaming, function calling, vision, audio
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
sdk quality
94
Methodology
SDK quality and maintenance review
Evidence
OpenAI SDKs
Official SDKs for Python, Node.js, Go, .NET
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
versioning policy
90
Methodology
Versioning policy review
Evidence
OpenAI Versioning
Clear versioning with deprecation notices
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
monitoring observability
92
Methodology
Observability tools review
Evidence
OpenAI Dashboard
Detailed usage dashboard with costs, tokens, rate limits
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
support quality
93
Methodology
Support and documentation assessment
Evidence
OpenAI Support
24/7 email support, comprehensive docs, active community
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
ecosystem maturity
96
Methodology
Ecosystem breadth and depth analysis
Evidence
OpenAI Ecosystem
Largest ecosystem with Assistants API, plugins, GPTs
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07
license terms
90
Methodology
License terms review
Evidence
OpenAI Terms
Standard commercial terms with usage policies
Date: 2025-01-01
Confidence: highLast verified: 2025-11-07

✨ Strengths

  • Highest overall performance (LMSYS #1, 1342 ELO)
  • Unified thinking system for enhanced reasoning
  • Lowest latency among frontier models (~1.2s p50)
  • Most mature ecosystem (Assistants API, GPTs, plugins)
  • Excellent multimodal capabilities (text, vision, audio)
  • Superior observability and monitoring tools

⚠️ Limitations

  • Not HIPAA eligible (unlike Claude models)
  • 30-day data retention vs Anthropic's 0-day default
  • Smaller context window (128K vs Claude's 200K)
  • Premium pricing comparable to Claude
  • Slightly behind Claude on specialized coding benchmarks

📊 Metadata

pricing:
input: $2.50 per 1M tokens
output: $20.00 per 1M tokens
notes: Priority tier pricing, batch API offers 50% discount
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
9: Russian
10: Arabic
11: Hindi
12: 50+ languages
modalities:
0: text
1: vision
2: audio (input/output)
api endpoint: https://api.openai.com/v1/chat/completions
open source: false
architecture: Transformer-based with unified thinking system
parameters: Not disclosed

Use Case Ratings

code generation

93

Excellent for general coding. Strong across multiple languages but slightly behind Claude Sonnet 4.5 for complex software engineering.

customer support

92

Top-tier for customer support with natural conversation and low latency. Unified thinking improves response quality.

content creation

94

Excellent for all content types. Natural, engaging writing style with good creativity.

data analysis

91

Strong analytical capabilities. Good for data interpretation and visualization recommendations.

research assistant

93

Excellent for research with unified thinking enabling deep analysis. Strong summarization.

legal compliance

85

Good capabilities but not HIPAA eligible. 30-day retention may be concern for regulated industries.

healthcare

80

Not HIPAA eligible. Good clinical understanding but privacy controls less stringent than Claude.

financial analysis

92

Strong quantitative reasoning and financial modeling capabilities. Good for market analysis.

education

94

Excellent for education with patient explanations and Socratic teaching approach.

creative writing

93

Very strong for creative tasks with good narrative flow and character development.