Our state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context.
Google DeepMind's Gemini 2.5 Pro is a stable multimodal thinking model for complex reasoning and coding tasks, with native support for text, audio, images, video, and PDFs and a 1,048,576-token input context window.
Standard Paid Tier on the Gemini Developer API pricing page. Long-context prompts over 200K tokens are priced separately at $2.50 input / $15.00 output / $0.25 cached input per 1M tokens. The model page lists supported data types as audio, images, video, text, and PDF.
Official Google Gemini Developer API pricing lists Gemini 2.5 Pro as a multimodal model and shows the paid standard tier at $1.25 per 1M input tokens, $10.00 per 1M output tokens, and $0.125 per 1M cached input tokens for prompts up to 200K tokens. The same page also lists higher long-context rates for prompts over 200K tokens.
