Google models on AIgateway — pricing, context, capabilities

EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.

Google's latest image generation model producing high-quality, photorealistic images from text prompts with support for multiple aspect ratios.

Google's fast image generation model producing high-quality images from text prompts.

Google's second-generation image generation model with improved quality and speed.

Google's higher-quality image generation model with improved detail and prompt adherence.

Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.

Gemini 3 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.

Google's lightest and most cost-efficient Gemini model for high-throughput tasks.

Gemma 4 is Google's most intelligent family of open models, built from Gemini 3 research to maximize intelligence-per-parameter.

Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Gemma 3 models are multimodal, handling text and image input and generating text output, with a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions.

This is a Gemma-2B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Google's latest video generation model with improved quality, motion, and audio generation.

Google's video generation model capable of producing high-quality videos with optional audio from text prompts.

A faster version of Veo 3 optimized for lower latency video generation with audio support.

A faster version of Veo 3.1 optimized for lower latency while maintaining high-quality video and audio output.