by Google
Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
gemini-3.5-flash-lite has a 1,048,576 token context window.
On AIHubMix, gemini-3.5-flash-lite 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-3.5-flash-lite accepts text, image, audio and video input.
gemini-3.5-flash-lite supports thinking, tool calling, function calling, structured outputs, web, deepsearch and long context. Per-protocol parameter support is listed in the capability table on this page.
gemini-3.5-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-3.5-flash-lite — no other code changes needed.
gemini-3.5-flash-lite is developed by Google. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
Free version: gemini-3.5-flash-lite-free
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Use gemini-3.5-flash-lite via the AIHubMix unified API — one interface for every major LLM.