Gemini 3 Pro
vgemini-3-pro-previewGoogle's flagship with 1M token context, 1501 LMArena Elo (first model >1500), Deep Think mode for complex reasoning, and native multimodal. 6x improvement on ARC-AGI-2 over 2.5 Pro.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
First model to exceed 1500 LMArena Elo. 1M context enables unprecedented document processing. 6x improvement on ARC-AGI-2 over 2.5 Pro.
Industry-standard coding benchmarks
PhD-level and world-leading reasoning benchmarks
Crowdsourced and comprehensive testing
Consistency and efficiency testing
Median latency measurements
95th percentile measurements
Official specification
Historical uptime data
🛡️Security+
Strong security with Google Cloud infrastructure. Configurable safety filters provide flexibility.
OWASP LLM security testing
Adversarial prompt testing
Privacy policy review
Safety testing
API security review
🔒Privacy & Compliance+
Good privacy with Google Cloud. HIPAA compliance available through Google Cloud Healthcare API.
Cloud infrastructure review
Terms review
Data retention policy review
Data protection review
Certification verification
Enterprise feature review
👁️Trust & Transparency+
Strong transparency with Deep Think mode. Comprehensive documentation and configurable guardrails.
Reasoning transparency evaluation
Factual QA testing
Bias benchmark evaluation
Qualitative assessment
Documentation review
Public disclosure review
Safety mechanism review
⚙️Operational Excellence+
Excellent operational maturity with Google Cloud. First same-day launch across all Google AI platforms.
API design review
SDK quality assessment
Versioning policy review
Observability tools review
Support assessment
Ecosystem analysis
License review
- +First model to exceed 1500 LMArena Elo (1501)
- +1M token context window (5x GPT-5.2, 5x Claude Opus 4.5)
- +93.8% GPQA Diamond with Deep Think
- +45.1% ARC-AGI-2 Deep Think (6x improvement over 2.5 Pro)
- +Native multimodal (text, image, video, audio)
- +Competitive pricing ($2/$12 per 1M tokens)
- +7x better token efficiency than 2.5 Pro
- !Preview status (not yet GA)
- !Slightly behind on SWE-bench (76.2% vs Claude's 80.9%)
- !Deep Think increases latency significantly
- !Data retention policies less clear than Anthropic
- !Newer model with less community testing
Use Case Ratings
code generation
76.2% SWE-bench, 1487 WebDev Arena. 1M context enables full codebase analysis.
customer support
Native multimodal enables image/video support. Strong conversational abilities.
content creation
Excellent for content with multimodal capabilities and long context.
data analysis
1M context enables analysis of massive datasets. Strong analytical reasoning.
research assistant
Best for research: 1M context processes entire books/papers. Deep Think for complex analysis.
legal compliance
1M context for full contract analysis. HIPAA via Google Cloud Healthcare.
healthcare
HIPAA via Google Cloud. Good for processing medical records with long context.
financial analysis
Strong quantitative reasoning. 1M context for large financial document sets.
education
95-100% AIME. Excellent for teaching with multimodal explanations.
creative writing
Good creative capabilities with strong narrative flow.