#can you exaplain these model: eleven_turbo_v2eleven_turbo_v2_5eleven_flash_v2eleven_flash_v2_5e

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final sorrelBOT
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AI-generated Answer for waterfallbay

Below is what ElevenLabs officially documents for each model you listed, plus concise selection guidance for real‑time agents.

Models (purpose, latency class, languages)

  • eleven_turbo_v2 — Low‑latency TTS (~250–300 ms). English only. Recommended for conversational use when you want better quality than Flash and can tolerate ~300 ms. (elevenlabs.io)
  • eleven_turbo_v2_5 — Low‑latency TTS (~250–300 ms) with broader language support (same 29 languages as Multilingual v2 plus Hungarian, Norwegian, Vietnamese = 32 total). Higher quality than Flash, still real‑time capable. (elevenlabs.io)
  • eleven_flash_v2 — Ultra‑low‑latency TTS (~75 ms). English only. Optimized for real‑time agents. (elevenlabs.io)
  • eleven_flash_v2_5 — Ultra‑low‑latency TTS (~75 ms). Multilingual (32 languages: Multilingual v2’s 29 + Hungarian, Norwegian, Vietnamese). Best default for multilingual real‑time agents. (elevenlabs.io)
  • eleven_multilingual_v2 — Highest fidelity among the v2 family; richer emotion/consistency across 29 languages. Higher latency and cost than Flash; still usable for conversational apps if you can trade latency for quality. (elevenlabs.io)
  • eleven_v3_conversational — I can’t find this model ID in ElevenLabs’ official docs. Today the v3 model is “eleven_v3”; it is highly expressive (70+ languages) but currently not recommended for real‑time/agents due to higher latency. ElevenLabs notes they’re working on a real‑time version of v3. (help.elevenlabs.io)

Notes that commonly affect agent builds

  • Cost: Flash and Turbo models bill 1 credit per 2 characters; other models (including Multilingual v2) bill 1 credit per character. (help.elevenlabs.io)
  • Number/date normalization: Flash v2.5 disables heavy text normalization by default to keep latency low. For phone numbers, dates, currencies, either pre‑normalize text (LLM step) or, on Enterprise, set apply_text_normalization=on. Multilingual v2 normalizes numbers better out of the box. (elevenlabs.io)
  • Character limits (API): Flash v2.5 and Turbo v2.5 support up to 40k chars; Flash v2 and Turbo v2 up to 30k; Multilingual v2 up to 10k. Useful for long responses or buffering. (elevenlabs.io)

Selection guidance for real‑time conversation

  • English‑only, lowest latency: eleven_flash_v2 (default). If you want higher quality and can accept ~250–300 ms, use eleven_turbo_v2. (elevenlabs.io)
  • Multilingual, lowest latency: eleven_flash_v2_5 (default). If you want higher quality and can accept ~250–300 ms, use eleven_turbo_v2_5. (elevenlabs.io)
  • Quality over latency (multilingual agents where naturalness/emotion matter more than response time): eleven_multilingual_v2. (elevenlabs.io)
  • Do not use v3 for live agents today; it’s for highly expressive TTS and dialogue generation, not real‑time. (help.elevenlabs.io)

Official docs that explicitly endorse these models for conversational/agent use

  • Eleven docs list Flash v2/v2.5 and Turbo v2/v2.5 (and, optionally, Multilingual v2) for Conversational AI/Agents.
long sigil
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can i use eleven_flash_v2_5 for English?