Google DeepMind
Gemini 1.5 Pro
- 1M Context
- Multimodal
- Grounding
Gemini 1.5 Pro features a breakthrough 1-million-token context window, enabling analysis of entire codebases, hour-long videos, and massive document collections in a single prompt.
About the model
Gemini 1.5 Pro — Infinite Context
Gemini 1.5 Pro is Google DeepMind’s most capable model, featuring a revolutionary 1-million-token context window powered by a new Mixture-of-Experts (MoE) architecture. It can process and reason over entire codebases, hour-long videos, or thousands of documents simultaneously.
With native multimodal capabilities across text, image, video, and audio, and Google Search grounding, it’s uniquely positioned for knowledge-intensive enterprise applications.
Core capabilities
What Gemini 1.5 Pro can do
Use cases
Designed for scale
- Large Codebase Analysis
- Video Content Analysis
- Research with Web Grounding
- Multi-document QA
- Enterprise RAG Systems
- Long-form Content Creation
Pricing
API Pricing Comparison
Gemini 1.5 Pro uses tiered pricing based on context size. Prompts up to 128K tokens are billed at a lower rate.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| Google AI Studio | Global | 400ms | 60 tok/s | 99.9% | $1.25/1M (<128K) | $5.00/1M | 1M |
| Google Vertex AI | Multi-region | 420ms | 55 tok/s | 99.95% | $1.25/1M | $5.00/1M | 1M |
| LLMAPI BEST | Global | 370ms | 80 tok/s | 99.99% | $1.10/1M | $4.40/1M | 1M |
Performance benchmarks
Technical Specifications
| Metric | Specification | Gemini 1.5 Pro | Gemini 1.5 Flash |
|---|---|---|---|
| Context window | 1,000,000 tokens | 1,000,000 tokens | |
| Max output | 8,192 tokens | 8,192 tokens | |
| Multimodal | Text, Image, Video, Audio | Text, Image, Video, Audio | |
| Architecture | MoE (Mixture of Experts) | Distilled MoE |
Enterprise scale, Google reliability
- 1M
- Context tokens
- 99.9%
- Uptime SLA
- 4+
- Modalities
- Search grounding
Architecture
Mixture-of-Experts Design
Gemini 1.5 Pro uses a sparse Mixture-of-Experts architecture for efficient large-context processing.
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Sparse MoE Architecture
Only activates relevant expert networks per token, enabling massive scale with controlled compute.
Core -
Long Context Attention
Novel attention mechanism enabling efficient 1M token processing without quadratic memory cost.
Context -
Google Search Integration
Native retrieval-augmented generation using real-time Google Search results.
Grounding
Decision guide
Is Gemini 1.5 Pro right for you?
Use Gemini 1.5 Pro when
- You need to process massive amounts of content (1M+ tokens)
- Your use case involves video analysis
- You need real-time web search grounding
- You're working with entire codebases or large document sets
Consider alternatives when
- Latency is critical (GPT-4o or Claude are faster)
- You need the highest accuracy for pure text reasoning
- You require a well-established API ecosystem
FAQ
Frequently asked questions
-
What is the 1 million token context window?
1 million tokens is roughly equivalent to 700,000 words of text, 11 hours of audio, 1 hour of video, or 30,000 lines of code. This allows Gemini 1.5 Pro to reason over entire repositories or document collections at once.
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How does Google Search grounding work?
When enabled, Gemini 1.5 Pro can query Google Search in real-time to retrieve current information, then ground its responses in verified, up-to-date sources.
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Is Gemini 1.5 Pro available through Google Cloud?
Yes, it's available through Google AI Studio (for development) and Google Vertex AI (for production enterprise use with enhanced SLAs and data residency options).