The Gemini API offers developers access to Google's Gemini, Imagen, and Veo models with a free tier and usage-based pricing per million tokens.
The Gemini API is Google DeepMind's programmatic interface for building applications on top of its Gemini family of AI models, alongside Imagen for image generation and Veo for video generation. It's designed to let developers integrate cutting-edge multimodal AI directly into their own products.
Developers typically start by experimenting in Google AI Studio, a web-based tool for testing prompts and exploring model behavior, before obtaining an API key and building the integration into their application using official SDKs.
The Gemini API provides access to multiple frontier models under one interface: Gemini for text and multimodal tasks, Imagen for image generation, and Veo for video generation. A free tier gives developers access to the Flash and Flash-Lite models with daily request quotas so they can prototype without upfront cost.
For production use, the API offers usage-based pricing per million tokens that varies by model, along with cost-saving mechanisms like context caching, which can cut input token costs by up to 90 percent, and batch processing, which is discounted 50 percent compared to standard requests.
The Gemini API's free tier provides limited daily access to Flash and Flash-Lite models; as of April 2026, Pro-tier models are no longer available for free and require paid usage. Paid pricing is usage-based, ranging from roughly $0.10 to $4.00 per million input tokens and $0.40 to $18.00 per million output tokens depending on the specific model and context length.
For example, Gemini 2.5 Flash-Lite is priced around $0.10/$0.40 per million input/output tokens, while Gemini 2.5 Pro is priced around $1.25/$10.00 per million tokens. Developers can further reduce costs through context caching and by batching requests for a 50 percent discount.
Gemini offers a free tier with daily request quotas on Flash and Flash-Lite models; Pro models require paid usage as of April 2026.
Pricing is usage-based per million tokens, ranging roughly from $0.10 to $4.00 per million input tokens and $0.40 to $18.00 per million output tokens depending on the model.
The API provides access to Gemini text/multimodal models, Imagen for image generation, and Veo for video generation.
The Gemini API and its underlying models are developed by Google DeepMind.
Yes, context caching can cut input token costs by up to 90 percent, and batch processing is discounted 50 percent off standard pricing.