Gemini 2.5 Pro (Google Vertex AI)

Gemini the listed price Pro on Google Vertex AI is positioned as a thinking model designed for reasoning over complex problems in code, mathematics, and STEM, while also handling large datasets, codebases, and long documents. It belongs to the gemini-2.5 family within the broader Gemini Pro lineage and is offered as a proprietary, actively maintained endpoint through Vertex AI, with the Interactions API recommended for access to current features. Its multimodal input handling lets teams send text alongside images, video, and audio into the same request, supporting workflows that mix documents with visual or audiovisual material, and it pairs this with structured output, JSON mode, streaming, and function calling for production agent pipelines.

For practical fit, the model pairs a one-million-token that quick-info value window with up to roughly sixty-six thousand tokens of output, which makes it well-suited to whole-codebase review, long-report summarization, and multi-document question answering where the relevant evidence spans hundreds of pages. Base-tier pricing sits at $the listed price per million input tokens and $the listed price per million output tokens, with higher priority and discounted flex tiers available for latency-sensitive or batch workloads. Compared with peers, Gemini the listed price Pro is aimed at users who need long-context reasoning combined with strong multimodal grounding, making it a strong match for enterprise document intelligence, research assistants, and agent systems that have to operate over large mixed-media inputs without splitting that quick-info value across multiple calls.