by Google
Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
gemini-3.5-flash has a 1,000,000 token context window.
On AIHubMix, gemini-3.5-flash costs $1.5 per million input tokens and $9 per million output tokens. Cached input reads are billed at $0.15 per million tokens.
gemini-3.5-flash accepts text, image, audio and video input.
gemini-3.5-flash 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 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 — no other code changes needed.
gemini-3.5-flash is developed by Google. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use gemini-3.5-flash via the AIHubMix unified API — one interface for every major LLM.