gemini-2.5-pro · Google
Gemini 2.5 Pro is an advanced reasoning model developed by Google, optimized for solving highly complex problems across multiple domains. It can deeply understand large-scale information from diverse sources, including text, audio, images, video, and even entire codebases. The model demonstrates strong reasoning capabilities in coding, mathematics, and STEM-related tasks, and supports long-context analysis for large datasets, codebases, and technical documentation.
Gemini 2.5 Pro is an advanced reasoning model developed by Google, optimized for solving highly complex problems across multiple domains. It can deeply understand large-scale information from diverse sources, including text, audio, images, video, and even entire codebases. The model demonstrates strong reasoning capabilities in coding, mathematics, and STEM-related tasks, and supports long-context analysis for large datasets, codebases, and technical documentation.
gemini-2.5-pro has a 1,048,576 token context window.
On AIHubMix, gemini-2.5-pro costs $1.25 per million input tokens and $10 per million output tokens. Cached input reads are billed at $0.125 per million tokens.
gemini-2.5-pro accepts text, image, audio, video and PDF input.
gemini-2.5-pro supports tool calling, function calling, structured outputs, long context, web search, thinking and deep search. Per-protocol parameter support is listed in the capability table on this page.
gemini-2.5-pro is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to gemini-2.5-pro — no other code changes needed.
gemini-2.5-pro is developed by Google. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use gemini-2.5-pro via the AIHubMix unified API — one interface for every major LLM.