Gemini 2.0 Flash
Overall Trust Score
Fast and efficient multimodal AI model from Google achieving 53.6% on SWE-bench and 62.1% on MMLU. Optimized for speed with strong vision capabilities and real-time applications.
Trust Vector
Performance & Reliability
Fast and efficient with excellent multimodal capabilities. 1M token context window is industry-leading. Optimized for speed with 0.8s p50 latency.
task accuracy code91
task accuracy reasoning86
task accuracy general85
output consistency87
latency p50Value: 0.8s
latency p95Value: 1.5s
context windowValue: 1,000,000 tokens
uptime99
Security
Strong security leveraging Google Cloud infrastructure. Comprehensive safety guardrails.
prompt injection resistance88
jailbreak resistance89
data leakage prevention84
output safety90
api security88
Privacy & Compliance
Excellent privacy leveraging Google Cloud infrastructure. HIPAA eligible with comprehensive certifications.
data residencyValue: US, EU, Asia (Google Cloud regions)
training data optout90
data retentionValue: 0 days (ephemeral for API)
pii handling85
compliance certifications92
zero data retention93
Trust & Transparency
Good transparency with strong safety guardrails. Standard explainability for a Flash model.
explainability82
hallucination rate83
bias fairness85
uncertainty quantification81
model card quality88
training data transparency77
guardrails90
Operational Excellence
Excellent operational maturity leveraging Google Cloud. Mature ecosystem with comprehensive support.
api design quality93
sdk quality94
versioning policy91
monitoring observability92
support quality91
ecosystem maturity93
license terms90
✨ Strengths
- •Blazing fast latency (0.8s p50, 1.5s p95)
- •Industry-leading 1M token context window
- •Strong multimodal capabilities (text, image, video)
- •HIPAA eligible with comprehensive Google Cloud compliance
- •Excellent pricing - best value in class ($0.10/$0.40 per 1M tokens)
- •Ephemeral data processing for privacy
⚠️ Limitations
- •Lower MMLU score (62.1%) compared to flagship models
- •Flash optimization may sacrifice some quality for speed
- •Limited explainability compared to reasoning models
- •Training data transparency could be improved
- •May not be suitable for highly complex reasoning tasks
- •Moderate hallucination rates
📊 Metadata
Use Case Ratings
code generation
Strong coding with 53.6% SWE-bench. Fast latency ideal for interactive development.
customer support
Excellent for customer support with fast 0.8s latency. Multimodal capabilities help with image support.
content creation
Good content generation with fast turnaround. Strong for high-volume content needs.
data analysis
Good analytical capabilities with fast processing. 1M context window excellent for large datasets.
research assistant
Good research capabilities with massive 1M context for large documents.
legal compliance
HIPAA eligible with strong Google Cloud compliance. Good for regulated industries.
healthcare
HIPAA eligible with comprehensive compliance certifications.
financial analysis
Good analytical capabilities with fast processing for real-time analysis.
education
Strong for education with fast responses and multimodal capabilities.
creative writing
Adequate creative capabilities with fast generation.