Independent

ElevenLabs v4 Turbo

Name: ElevenLabs v4 Turbo
Price: 0.03 USD
Availability: InStock
Rating: 87.1 (2 reviews)
Author: Independent

Ultra-low latency speech synthesis engine with sub-80ms streaming TTFT, emotional prosody control, and conversational turn-taking support.

#34rilasciato il 18 set 2026·Proprietary·Not disclosed

textaudio32K ctx

Provider API Esegui modello →Classifica

Intelligenza

87.1 #34

AAQI 87.0

Velocità Uscita

220 t/s

ITL 4.5 ms/tok

Prezzo combinato (3:1)

$0.025 /1M

Input $0.015/M · Output $0.03/M

Contesto

32K

≈ 80 pagine A4 · output max 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

ElevenLabs v4 Turbo

Claude Mythos Preview (#1)

Average (68)

Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.

Punti di forza e compromessi

Dove vince

Real-time conversational latency
Granular pronunciation control via IPA
Cross-turn voice consistency for agents
220 t/s-class generation speed

A cosa fare attenzione

Audio output only — no text reasoning
Voice cloning requires consent verification

Casi d'uso killer

Voice agents & IVR

Sub-100ms spoken turns for phone and web agents.

Dubbing pipelines

Multi-language voiceover with consistent speakers.

Game NPC dialogue

Dynamic in-game speech at runtime.

Quickstart per sviluppatori e API

Imposta prima ELEVENLABS_API_KEY — ottieni una chiave API

curl -X POST "https://api.elevenlabs.io/v1/text-to-speech/VOICE_ID" \
  -H "xi-api-key: $ELEVENLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Welcome to the future of voice agents.", "model_id": "eleven_v4_turbo"}' \
  --output speech.mp3

import os, requests

resp = requests.post(
    "https://api.elevenlabs.io/v1/text-to-speech/VOICE_ID",
    headers={"xi-api-key": os.environ["ELEVENLABS_API_KEY"]},
    json={"text": "Welcome to the future of voice agents.", "model_id": "eleven_v4_turbo"},
)
open("speech.mp3", "wb").write(resp.content)

const res = await fetch("https://api.elevenlabs.io/v1/text-to-speech/VOICE_ID", {
  method: "POST",
  headers: { "xi-api-key": process.env.ELEVENLABS_API_KEY, "Content-Type": "application/json" },
  body: JSON.stringify({ text: "Welcome to the future of voice agents.", model_id: "eleven_v4_turbo" }),
});
await fs.promises.writeFile("speech.mp3", Buffer.from(await res.arrayBuffer()));

Text-to-speech — replace VOICE_ID with a voice from your library; returns an audio stream.

Risorse e link ufficiali

AnnuncioEleven v4 models DocumentiAPI docs Console APIElevenLabs app

Deployment API

Confronta host e latenza

Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI

Vedi matrice provider →

Punteggi per Fonte

Arena.ai ↗

1395.0

#45 · 1.1k votes · ±7

Artificial Analysis ↗

87.0

Indice di Intelligenza

Punteggi per Categoria

Velocità99.0 Multimodale94.0 Valore88.0 Intelligence87.1 Agentico70.0 Conoscenza50.0 Contesto lungo40.0 Reasoning30.0 Coding0.0 Matematica0.0

Risultati dei Benchmark

Specifiche live e architettura

Sotto il cofano

Eleven v4 Turbo — streaming speech synthesis

Sub-80ms streaming TTFT for live voice agents
IPA phoneme and pronunciation-dictionary control
Emotional prosody with inline audio tags
MP3 / WAV / µ-law output for telephony

Data di Rilascio

18 set 2026

Architettura

Eleven v4 Turbo — streaming speech synthesis

Parametri

Not disclosed

Licenza

Proprietary

Finestra di Contesto

32,000 tokens

Output max

8,192 tokens

Modalità

text + audio

Prezzi cache

lettura $0.005 · scrittura $0.02 /1M

Ragionamento

—

Prezzo Ingresso

$0.015/M

Prezzo Uscita

$0.03/M

Velocità Uscita

220 t/s

Tempo al Primo Token

—

Dati aggiornati

22 set 2026

Stima bolletta mensile

Richieste API mensili: 100,000Token input medi: 1,500Token output medi: 500Hit rate cache prompt: 50%

Spesa mensile stimata

$0.00

Calcolo risparmio vs GPT-4o…

Cita e incorpora

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BibTeX

@misc{llmpodium2026elevenv4turbo,
  title = {Benchmark Analysis and Intelligence Evaluation of ElevenLabs v4 Turbo},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/eleven-v4-turbo}
}