by Google
gemini-2.5-flash-search integrates Google's official search functionality; the search feature will have an additional separate fee log directly incorporated into the scoring, with detailed logs not displayed; this will be fixed and displayed later; only supports OpenAI-compatible formats for invocation, does not support Gemini SDK; for Gemini's native SDK, please set parameters directly using the official search parameters.
gemini-2.5-flash-search integrates Google's official search functionality; the search feature will have an additional separate fee log directly incorporated into the scoring, with detailed logs not displayed; this will be fixed and displayed later; only supports OpenAI-compatible formats for invocation, does not support Gemini SDK; for Gemini's native SDK, please set parameters directly using the official search parameters.
gemini-2.5-flash-search has a 1,048,576 token context window.
On AIHubMix, gemini-2.5-flash-search costs $0.3 per million input tokens and $2.5 per million output tokens. Cached input reads are billed at $0.03 per million tokens.
gemini-2.5-flash-search accepts text, image, audio and video input.
gemini-2.5-flash-search supports web, tool calling, function calling, structured outputs and long context. Per-protocol parameter support is listed in the capability table on this page.
gemini-2.5-flash-search 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-flash-search — no other code changes needed.
gemini-2.5-flash-search 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-flash-search via the AIHubMix unified API — one interface for every major LLM.