Elevenlabs models
All 11 Elevenlabs models on OpenDunes, priced in Algerian Dinars.
11 models
Eleven v4 Turbo turns text into expressive speech with low latency, keeping v4's audio tags and delivery while generating faster across more than 90 languages
Eleven v4 is ElevenLabs' most expressive voice model: you write cues into the text to steer emotion and delivery, and get speech back in 90+ languages. Requests take up to 10,000 characters, twice what v3 accepts. Pick it for character voiceovers, emotional dialogue and audiobooks.
Transcribes audio in 90+ languages with word-level timestamps, optional speaker diarization and audio-event tagging, for any subject where Scribe v2 Medical is the one tuned for clinical terms
Eleven Flash v2.5 reads text aloud in 32 languages and starts speaking in about 75 milliseconds, which suits voice assistants, chatbots and big batches of audio. One request can hold up to 40,000 characters. For finished narration or acted emotion, Multilingual v2 and Eleven v4 are the models built for it, not for live speed.
Scribe v2 Medical transcribes recorded speech in 90+ languages and is tuned for clinical vocabulary, so medical terms are recognised better. It marks the time of every word, labels who is speaking if you ask, and notes other sounds in the recording. Pick it for clinical documentation, dictation and patient intake calls.
Eleven v3 speaks your text with emotion you direct, in 70+ languages: write short cues into the script to steer how each line is delivered. A request holds up to 5,000 characters, so long scripts go in pieces. Pick it for character voices and expressive stories. Eleven v4 covers 90+ languages and 10,000 characters, and v3 Conversational is the version for live dialogue.
Eleven Multilingual v2 turns written text into lifelike speech across 29 languages, best for long-form narration like voice-overs and audiobooks with consistent voice quality
Speaks text in 70+ languages like Eleven v3, within the same 5,000-character request limit, but is optimized for natural dialogue in conversational agents where Eleven v3 is aimed at expressive speech with inline audio tags
Reads text aloud at low latency in 32 languages, taking up to 40,000 characters a request, the Turbo for non-English work where Turbo v2 stays English-only and Flash v2.5 is the ultra-low-latency pick
Reads English text aloud at low latency for developer use where speed matters, 30,000 characters a request, the first-generation Turbo that Flash v2 now outclasses at ultra-low latency
Reads English text aloud at ultra-low latency for live conversation, taking 30,000 characters a request, where Turbo v2 is the earlier low-latency generation and Flash v2.5 adds 32 languages