Google Gemini 3 Pro
Google’s 5M-token native multimodal model deployed across federal patent examination (USPTO) and high-throughput enterprise workflow automation.
Provider
Google DeepMind (Proprietary API)
Architecture
Native Multimodal Sparse MoE (Text, Audio, Video, Code)
Parameters
Proprietary Multimodal MoE
Context Window
5,000,000 tokens (Max Output: 65,536 tokens)
API Pricing
Input: $1.25 / 1M · Cached: $0.15 / 1M · Output: $5.00 / 1M
Hardware Target
Cloud API Only (Google TPU v6e / Trillium)
Interactive Token Cost Estimator (Gemini 3 Pro)
Architectural Strengths & Target Workloads
- 5,000,000-token native multimodal window (ingests PDFs, diagrams, video, and repositories)
- Aggressive $1.25 / $5.00 per 1M token pricing with $0.15 / 1M cached context reads
- FedRAMP High & enterprise VPC grounding integration via Vertex AI
Primary Engineering Workloads: Multimodal Document & Patent Triage · Enterprise Grounded Search · Video & Log Analysis.
Frequently Asked Questions (Gemini 3 Pro)
How much does Google Gemini 3 Pro cost per 1M tokens?
Google Gemini 3 Pro is priced at $1.25 per 1M uncached input tokens, $0.15 per 1M cached input tokens, and $5.00 per 1M output tokens (Google Vertex AI / AI Studio (Context Caching at $0.15 / 1M tokens)).
What is the context window of Google Gemini 3 Pro?
It supports up to 5,000,000 tokens (5,000,000 tokens) and a maximum generation output of 65,536 tokens.
Full TechPulse Engineering Analysis
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