Gemini 2.5 Pro

vgemini-2.5-pro-002

Google

Modellong-context2m-tokensdeep-thinkmultimodal
89
Strong
About This Model

Google's latest flagship with 2M token context window, Deep Think mode for complex reasoning, and native multimodal capabilities. Best-in-class for long-context applications.

Last Evaluated: November 7, 2025
Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability
+

Exceptional performance with 2M context window enabling unprecedented long-document processing. Deep Think mode enhances complex reasoning.

task accuracy code

Standard coding benchmarks

Evidence
HumanEval88.4% on HumanEval
highVerified: 2025-11-07
task accuracy reasoning

PhD-level reasoning benchmarks

Evidence
GPQA Diamond69.8% with Deep Think mode
highVerified: 2025-11-07
task accuracy general

Comprehensive knowledge testing

Evidence
MMLU-Pro79.1% on graduate knowledge
highVerified: 2025-11-07
output consistency

Internal consistency testing

Evidence
Google AI DocumentationConsistent outputs across requests
mediumVerified: 2025-11-07
latency p50

API latency measurements

Evidence
Community benchmarkingMedian latency ~1.5s
mediumVerified: 2025-11-07
latency p95

95th percentile measurements

Evidence
Community benchmarkingp95 latency ~3.5s
mediumVerified: 2025-11-07
context window

Official specification

Evidence
Google AI Documentation2M token context window (largest available)
highVerified: 2025-11-07
uptime

Historical uptime data

Evidence
Google Cloud Status99.9% uptime (last 90 days)
highVerified: 2025-11-07
🛡️Security
+

Strong security leveraging Google Cloud infrastructure. Configurable safety filters provide flexibility.

prompt injection resistance

OWASP LLM security testing

Evidence
Google AI SafetyStrong prompt injection defenses
mediumVerified: 2025-11-07
jailbreak resistance

Adversarial prompt testing

Evidence
Community testingGood resistance to jailbreak attempts
mediumVerified: 2025-11-07
data leakage prevention

Privacy policy review

Evidence
Google Privacy PolicyData handling policies for Gemini API
mediumVerified: 2025-11-07
output safety

Safety testing

Evidence
Google Safety FiltersConfigurable safety filters across categories
highVerified: 2025-11-07
api security

API security review

Evidence
Google Cloud SecurityGoogle Cloud security standards
highVerified: 2025-11-07
🔒Privacy & Compliance
+

Good privacy with Google Cloud infrastructure. Enterprise options provide enhanced controls. HIPAA compliance available through Google Cloud.

data residency

Cloud infrastructure review

Evidence
Google Cloud RegionsMultiple region options via Google Cloud
highVerified: 2025-11-07
training data optout

Terms review

Evidence
Gemini API TermsAPI data not used for training
highVerified: 2025-11-07
data retention

Data retention policy review

Evidence
Google Cloud Data HandlingRetention policies vary by service tier
mediumVerified: 2025-11-07
pii handling

Data protection review

Evidence
Google AI SafetyCustomer responsible for PII handling
mediumVerified: 2025-11-07
compliance certifications

Certification verification

Evidence
Google Cloud ComplianceSOC 2, ISO 27001, GDPR compliant
highVerified: 2025-11-07
zero data retention

Enterprise feature review

Evidence
Enterprise OptionsAvailable for enterprise customers
mediumVerified: 2025-11-07
👁️Trust & Transparency
+

Strong transparency with Deep Think mode and comprehensive documentation. Configurable guardrails provide flexibility.

explainability

Reasoning transparency evaluation

Evidence
Deep Think FeatureDeep Think mode exposes reasoning process
highVerified: 2025-11-07
hallucination rate

Factual QA testing

Evidence
Google AI TestingImproved factual accuracy over Gemini 1.5
mediumVerified: 2025-11-07
bias fairness

Bias benchmark evaluation

Evidence
Google AI PrinciplesRegular bias testing and mitigation
mediumVerified: 2025-11-07
uncertainty quantification

Qualitative assessment

Evidence
Model behaviorExpresses uncertainty appropriately
mediumVerified: 2025-11-07
model card quality

Documentation review

Evidence
Gemini Model CardComprehensive model documentation
highVerified: 2025-11-07
training data transparency

Public disclosure review

Evidence
Google AI BlogGeneral training data description
mediumVerified: 2025-11-07
guardrails

Safety mechanism review

Evidence
Safety SettingsConfigurable multi-category safety filters
highVerified: 2025-11-07
⚙️Operational Excellence
+

Excellent operational maturity backed by Google Cloud infrastructure. Best-in-class monitoring and observability.

api design quality

API design review

Evidence
Gemini APIRESTful API with streaming, function calling, native multimodal
highVerified: 2025-11-07
sdk quality

SDK quality assessment

Evidence
Google AI SDKsSDKs for Python, Node.js, Go, Swift, Kotlin
highVerified: 2025-11-07
versioning policy

Versioning policy review

Evidence
Google Cloud VersioningClear versioning with migration guides
highVerified: 2025-11-07
monitoring observability

Observability tools review

Evidence
Google Cloud ConsoleComprehensive Cloud Console monitoring
highVerified: 2025-11-07
support quality

Support assessment

Evidence
Google Cloud SupportEnterprise support with SLAs
highVerified: 2025-11-07
ecosystem maturity

Ecosystem analysis

Evidence
Google AI EcosystemGrowing ecosystem with Google Cloud integration
highVerified: 2025-11-07
license terms

License review

Evidence
Google Cloud TermsStandard commercial terms
highVerified: 2025-11-07
Strengths
  • +2M token context window - largest available (10x Claude, 16x GPT-5)
  • +Deep Think mode for enhanced reasoning on complex problems
  • +Native multimodal capabilities (text, image, video, audio)
  • +Google Cloud infrastructure with enterprise-grade reliability
  • +Excellent for massive document analysis and research
  • +Competitive pricing with strong performance
Limitations
  • !Slightly behind Claude/GPT on specialized benchmarks
  • !Newer model with less community testing
  • !Deep Think mode increases latency significantly
  • !Data retention policies less transparent than Anthropic
  • !Smaller ecosystem than OpenAI
Metadata
pricing
input: $1.25 per 1M tokens (<200k context), $2.50 per 1M tokens (>200k context)
output: $10.00 per 1M tokens (<200k context), $15.00 per 1M tokens (>200k context)
notes: Tiered pricing based on context length - most cost-effective frontier model for long-context work
last verified: 2025-11-09
context window: 2000000
languages
0: English
1: 100+ languages
modalities
0: text
1: vision
2: audio
3: video
api endpoint: https://generativelanguage.googleapis.com/v1beta/models
open source: false
architecture: Multimodal transformer with Deep Think reasoning
parameters: Not disclosed

Use Case Ratings

code generation

Strong coding capabilities. Excellent for code explanation and documentation with long context.

customer support

Good for customer support with multimodal capabilities. Can process images and documents natively.

content creation

Excellent for content creation with good creativity and natural writing.

data analysis

Outstanding for data analysis with 2M context enabling analysis of massive datasets.

research assistant

Exceptional for research with 2M context. Can process entire books, papers, and repositories.

legal compliance

Good for legal work with massive context enabling full contract analysis.

healthcare

Good capabilities with HIPAA compliance available via Google Cloud. Large context useful for medical records.

financial analysis

Strong for financial analysis with ability to process large financial documents.

education

Excellent for education with multimodal capabilities and patient explanations.

creative writing

Good for creative writing with strong narrative capabilities.