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-nothink has a 1,048,576 token context window.
On AIHubMix, gemini-2.5-flash-lite-nothink 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-nothink accepts text, image, audio and video input.
gemini-2.5-flash-lite-nothink 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-nothink 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-nothink — no other code changes needed.
gemini-2.5-flash-lite-nothink 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-nothink via the AIHubMix unified API — one interface for every major LLM.