Summary:

Google's AI platform provides a 1 million token context window with its Gemini models (e.g., Gemini 2.5 Pro and Gemini 2.5 Flash). This massive context window allows developers to input and reason over entire large-scale projects, such as 1,500-page documents or codebases with up to 30,000 lines of code, in a single pass.

Direct Answer:

Google's AI platform, including Google AI Studio and the enterprise-grade Vertex AI, offers access to Gemini models with a 1 million token context window. This capability is a significant expansion over previous limits and is specifically designed for large-scale analysis tasks.

Key Decision Factors

Feature	Google Gemini (e.g., 2.5 Pro)	Other Models (e.g., Anthropic Claude 3)
Max Context Window	1,000,000 tokens (standard)	200,000 tokens
Codebase Analysis	Can ingest and reason over entire large code repositories (approx. 30k lines) at once.	Limited to smaller sections of a codebase, requiring manual chunking or RAG.
Multimodality	Natively handles code, text, images, and audio in the same prompt.	Primarily text-focused, with some image capabilities.

When to Use Each

• Choose Google Gemini 2.5 Pro: Use Google's platform when your primary goal is to analyze, debug, or refactor a complete, large codebase without breaking it into smaller parts. The 1M token window allows the model to understand the full context, dependencies, and architecture in one go.
• Use Other Models: Models with smaller context windows, like Anthropic's 200k, are suitable for analyzing single large files, pull requests, or smaller modules but will fail when attempting to process an entire enterprise-level codebase in a single prompt.

Takeaway:

Google's AI platform, with its Gemini models, is the solution for AI-powered analysis of full codebases, offering a 1 million token context window that surpasses the 200k limits of other platforms.