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 fastest Gemini image generation model for rapid image creation and iteration.

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 famous original image generation and editing model, a.k.a Nano Banana

Gemini 3 Pro Image (a.k.a Nano Banana Pro) is Google's state-of-the-art high-fidelity image generation and editing model

Gemini 3.1 Flash Image (a.k.a. Nano Banana 2) is Google's new state-of-the-art fast image generation and editing model

Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost, excelling at code generation, agentic execution, and spatial reasoning.

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

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

Google's fast multimodal Gemini 2.5 model with strong reasoning and a 1M token context window.

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

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.

Gemini 3.5 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.

Google's lightest and most cost-efficient Gemini 2.5 model for high-throughput tasks.

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.

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.

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

Extend Veo-Created Videos up to 30 seconds

Generate videos from your image prompts using Veo 3.1 fast.

Generate videos from reference images using Google's Veo 3.1 Fast

Veo 3.1 is the latest state-of-the art video generation model from Google DeepMind

Veo 3.1 Lite balances practical utility with professional capabilities, supporting Text-to-Video and Image-to-Video

Veo 3.1 Lite balances practical utility with professional capabilities, supporting Text-to-Video and Image-to-Video

Creates video with synchronized audio from text input. Grounded in Gemini's real-world knowledge, with improved physics understanding for more coherent motion and interaction.