ElevenLabs: Eleven Flash v2.5

Eleven Flash v2.5 is a text-to-speech model from ElevenLabs, listed on api14 under the speech category. It sits in the Flash line of ElevenLabs models, which the provider describes as ultra-low-latency text-to-speech, and it is aimed squarely at conversational and real-time use cases rather than offline batch synthesis. If you are building something that has to speak back to a user quickly, this is the model family to look at first.

The model takes text as input and returns speech as output. It supports 32 languages, which means a single model id can cover multilingual voice applications without you swapping models per locale. The provider also states a 40,000-character request limit, so a single call can handle a substantial amount of text rather than a sentence or two. Twenty-one voices are available: george, sarah, adam, alice, bella, bill, brian, callum, charlie, chris, daniel, eric, harry, jessica, laura, liam, lily, matilda, river, roger, and will. There is no published context length in tokens for this model, and the parameter list on api14 is empty, so plan around the provider's character limit and voice selection rather than around sampling controls.

The obvious use cases follow from low latency plus a wide language set. Voice assistants and conversational agents are the primary fit, since responses need to be generated and spoken while the user is still waiting. Real-time narration, such as reading out live updates, notifications, or streaming text as it arrives, is another natural application. Multilingual interactive experiences work well here too: customer support bots, language learning tools, and in-app voice prompts can all draw on the same 32-language coverage. Because requests can carry up to 40,000 characters, longer passages such as article readouts or long-form narration are also feasible in a single call.

You call the model through api14's OpenAI-compatible API using the model id "elevenlabs/eleven-flash-v2.5". Because the interface is OpenAI-compatible, you point your existing client at the api14 base URL, send your API key, and set the model field to that id; the text you want spoken goes in as the input. Voice selection is where this model differs from a chat model, and the 21 voice names listed above are the ones to use. The supported parameter list for this model is empty, so do not assume temperature, top_p, or similar sampling options will have any effect; keep your request to the model id, the input text, and your chosen voice.

The main constraint to keep in mind is scope. This model produces speech from text only, so it cannot transcribe audio or return text, and a task that needs transcription belongs with a speech-to-text model instead. If you need a hosted model with a rich set of tunable request parameters, or one whose context is measured in tokens for very long documents, check other entries on api14, since Eleven Flash v2.5 gives you no parameters to adjust and no published token context.