AI Model Catalogue

Upscale images 2x or 4x times

Google’s hybrid “thinking” AI model optimized for speed and cost-efficiency

Google's fast image generation model with conversational editing, multi-image fusion, and character consistency

Google's most intelligent model, with improved reasoning and a new medium thinking level

Google's state of the art image generation and editing model 🍌🍌

New and improved version of Veo 3, with higher-fidelity video, context-aware audio, reference image and last frame support

New and improved version of Veo 3 Fast, with higher-fidelity video, context-aware audio and last frame support

Generate full-length songs up to 3 minutes from text prompts or images with Lyria 3 Pro, Google's most capable music generation model

Google's cost-efficient video generation model with native audio, optimized for high-volume applications

Use this ultra version of Imagen 4 when quality matters more than speed and cost

Generate 30-second music clips from text prompts or images with Lyria 3, Google's music generation model

Google's fast, expressive text-to-speech model with 30 voices and 70+ language support

Open-source gemma-3-1b-it model from google — available for download and self-hosting on Hugging Face.

Open-source t5gemma-s-s-prefixlm model from google — available for download and self-hosting on Hugging Face.

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality, 48kHz...

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...