Gemini 2.0 Flash

v20251101

Google

Modelfastmultimodalvisionlarge-context
88
Strong
About This Model

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.

Last Evaluated: November 8, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀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 code

Industry-standard coding benchmarks

Evidence
SWE-bench Verified53.6% resolution rate
HumanEval76.4% accuracy on code generation
highVerified: 2025-11-08
task accuracy reasoning

Graduate-level reasoning benchmarks

Evidence
MATH Benchmark82.3% on mathematical reasoning
GPQA54.2% on graduate-level questions
highVerified: 2025-11-08
task accuracy general

Comprehensive knowledge testing

Evidence
MMLU62.1% on comprehensive knowledge benchmark
highVerified: 2025-11-08
output consistency

Internal testing with repeated prompts

Evidence
Google AI DocumentationGood consistency optimized for speed
mediumVerified: 2025-11-08
latency p50

Median latency for API requests

Evidence
Google AI DocumentationTypical response time ~0.8s (Flash optimized)
highVerified: 2025-11-08
latency p95

95th percentile response time

Evidence
Community benchmarkingp95 latency ~1.5s
highVerified: 2025-11-08
context window

Official specification

Evidence
Google AI Documentation1M token context window
highVerified: 2025-11-08
uptime

Historical uptime data

Evidence
Google Cloud Status99.95% uptime (last 90 days)
highVerified: 2025-11-08
🛡️Security
+

Strong security leveraging Google Cloud infrastructure. Comprehensive safety guardrails.

prompt injection resistance

Testing against OWASP LLM01

Evidence
Google AI SafetyStrong prompt injection resistance
highVerified: 2025-11-08
jailbreak resistance

Testing against adversarial prompts

Evidence
Google Safety EvaluationsRobust safety guardrails
highVerified: 2025-11-08
data leakage prevention

Analysis of privacy policies

Evidence
Google Privacy PolicyStandard data handling practices
mediumVerified: 2025-11-08
output safety

Safety testing across content categories

Evidence
Google Safety EvaluationsComprehensive safety filtering
highVerified: 2025-11-08
api security

Review of API security features

Evidence
Google Cloud SecurityEnterprise-grade API security
highVerified: 2025-11-08
🔒Privacy & Compliance
+

Excellent privacy leveraging Google Cloud infrastructure. HIPAA eligible with comprehensive certifications.

data residency

Review of Google Cloud documentation

Evidence
Google Cloud DocumentationGlobal data residency options
highVerified: 2025-11-08
training data optout

Analysis of privacy policy

Evidence
Google AI PrivacyNo training on API data by default
highVerified: 2025-11-08
data retention

Review of data retention policies

Evidence
Google AI Data UsageEphemeral processing for API requests
highVerified: 2025-11-08
pii handling

Review of data protection capabilities

Evidence
Google Cloud DLPDLP integration available for PII handling
mediumVerified: 2025-11-08
compliance certifications

Verification of certifications

Evidence
Google Cloud ComplianceSOC 2, ISO 27001, GDPR, HIPAA eligible
highVerified: 2025-11-08
zero data retention

Review of data handling

Evidence
Google AI Data UsageEphemeral API processing
highVerified: 2025-11-08
👁️Trust & Transparency
+

Good transparency with strong safety guardrails. Standard explainability for a Flash model.

explainability

Evaluation of explanation features

Evidence
Google AI DocumentationStandard explanation capabilities
mediumVerified: 2025-11-08
hallucination rate

Testing on factual QA datasets

Evidence
Community TestingModerate hallucination rate
mediumVerified: 2025-11-08
bias fairness

Evaluation on bias benchmarks

Evidence
Google AI PrinciplesComprehensive bias testing and mitigation
highVerified: 2025-11-08
uncertainty quantification

Assessment of confidence expression

Evidence
Model BehaviorBasic uncertainty expression
mediumVerified: 2025-11-08
model card quality

Review of documentation

Evidence
Google AI DocumentationComprehensive documentation
highVerified: 2025-11-08
training data transparency

Review of public disclosures

Evidence
Google AI ResearchLimited training data disclosure
mediumVerified: 2025-11-08
guardrails

Analysis of safety mechanisms

Evidence
Google Safety FeaturesComprehensive safety guardrails
highVerified: 2025-11-08
⚙️Operational Excellence
+

Excellent operational maturity leveraging Google Cloud. Mature ecosystem with comprehensive support.

api design quality

Review of API design

Evidence
Google AI APIWell-designed RESTful API
highVerified: 2025-11-08
sdk quality

Review of SDK quality

Evidence
Google AI SDKsHigh-quality SDKs for multiple languages
highVerified: 2025-11-08
versioning policy

Review of versioning practices

Evidence
Google Cloud VersioningClear versioning policy
highVerified: 2025-11-08
monitoring observability

Review of monitoring tools

Evidence
Google Cloud MonitoringComprehensive monitoring via Google Cloud
highVerified: 2025-11-08
support quality

Assessment of support options

Evidence
Google Cloud SupportEnterprise support with SLAs
highVerified: 2025-11-08
ecosystem maturity

Analysis of ecosystem

Evidence
Google Cloud EcosystemMature ecosystem with extensive integrations
highVerified: 2025-11-08
license terms

Review of licensing

Evidence
Google Cloud TermsStandard commercial terms
highVerified: 2025-11-08
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
pricing
input: $0.10 per 1M tokens
output: $0.40 per 1M tokens
notes: Highly competitive Flash tier pricing - exceptional value for speed
last verified: 2025-11-09
context window: 1000000
languages
0: English
1: Spanish
2: French
3: German
4: Italian
5: Portuguese
6: Japanese
7: Korean
8: Chinese
9: Arabic
10: Hindi
11: 100+ languages
modalities
0: text
1: image
2: video
3: audio
api endpoint: https://generativelanguage.googleapis.com/v1/models/gemini-2.0-flash
open source: false
architecture: Transformer-based multimodal with Flash optimization
parameters: Not disclosed

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.