by Google
Gemini 2.5 Flash-Lite is a balanced model from Google, optimized for applications that require low-latency performance. It retains the practical capabilities of the Gemini 2.5 family, including configurable reasoning based on budget, integration with tools such as grounding via Google Search and code execution, multimodal input support, and an ultra-long context window of up to 1 million tokens, delivering a strong balance between efficiency, functionality, and cost.
Gemini 2.5 Flash-Lite is a balanced model from Google, optimized for applications that require low-latency performance. It retains the practical capabilities of the Gemini 2.5 family, including configurable reasoning based on budget, integration with tools such as grounding via Google Search and code execution, multimodal input support, and an ultra-long context window of up to 1 million tokens, delivering a strong balance between efficiency, functionality, and cost.
gemini-2.5-flash-lite has a 1,048,576 token context window.
On AIHubMix, gemini-2.5-flash-lite costs $0.1 per million input tokens and $0.4 per million output tokens. Cached input reads are billed at $0.01 per million tokens.
gemini-2.5-flash-lite accepts text, image, audio and video input.
gemini-2.5-flash-lite supports 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-lite 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-lite — no other code changes needed.
gemini-2.5-flash-lite 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-lite via the AIHubMix unified API — one interface for every major LLM.