Google DeepMind's open-weight embedding model for local search across text, code, images, audio, and video.
- Embedding price
- Open weights; self-hosted
- Input capacity
- 8,192 shared tokens across text and media
Resources
Showing 1–12 of 110 models
Google DeepMind's open-weight embedding model for local search across text, code, images, audio, and video.
Cloudflare · Live
Cloudflare's larger decision model for classifying information and choosing an action without generating a chat response.
Cloudflare · Live
A smaller Cloudflare decision model for frequent routing and classification tasks, with a lower input-token price than Clef.
OpenAI · Live
An OpenAI reasoning model for complex coding, research and tool-assisted work at a lower token price than Astra.
ElevenLabs · Live
An expressive text-to-speech model for narration, character voices and dialogue in many languages.
ElevenLabs · Live
A low-latency speech model for assistants and interactive characters that need an expressive speaking voice.
Anthropic · Live
A Claude model for everyday coding, writing and visual analysis, with room for large reference documents.
Recraft · Live
A low-cost image model for trying visual ideas quickly, from social graphics to photo concepts.
Google · Live
Google's speech-generation model for expressive narration, character voices and dialogue in 130 languages.
Google's lower-cost speech-generation model for read-aloud features and high-volume audio in 101 languages.
An OpenAI model for coding projects and assistants that carry out several steps with tools.
OpenAI · Live
A low-cost OpenAI model for focused tasks repeated at scale, such as extraction, classification and short replies.
How to use this library
A curated cross-category set of frontier, specialist, and category-defining models with practical API information for real product decisions.
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Put the model to work
Use Cody's expanded prompt playbooks and curated agent skills to turn a model choice into a repeatable workflow.