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.

#34dirilis 18 Sep 2026·Proprietary·Not disclosed

textaudio32K ctx

Penyedia API Jalankan Model →Peringkat

Inteligensi

87.1 #34

AAQI 87.0

Kecepatan output

220 t/s

ITL 4.5 ms/tok

Harga gabungan (3:1)

$0.025 /1M

Input $0.015/M · Output $0.03/M

Konteks

32K

≈ 80 halaman A4 · output maks 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

ElevenLabs v4 Turbo

Claude Mythos Preview (#1)

Average (68)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

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

Hal yang perlu diperhatikan

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

Kasus Penggunaan 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 Developer & API

Atur ELEVENLABS_API_KEY dulu — dapatkan kunci 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.

Sumber Daya & Tautan Resmi

PengumumanEleven v4 models DokumentasiAPI docs Konsol APIElevenLabs app

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI

Lihat matriks penyedia →

Skor per sumber

Arena.ai ↗

1395.0

#45 · 1.1k votes · ±7

Artificial Analysis ↗

Skor per kategori

Kecepatan99.0 Multimodal94.0 Nilai88.0 Intelligence87.1 Agen70.0 Pengetahuan50.0 Konteks panjang40.0 Penalaran30.0 Coding0.0 Matematika0.0

Hasil benchmark

Spesifikasi Live & Arsitektur

Di balik kap

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

Tanggal rilis

18 Sep 2026

Arsitektur

Eleven v4 Turbo — streaming speech synthesis

Parameter

Not disclosed

Lisensi

Proprietary

Jendela konteks

32,000 tokens

Output maks

8,192 tokens

Modalitas

text + audio

Harga cache

baca $0.005 · tulis $0.02 /1M

Penalaran

—

Harga input

$0.015/M

Harga output

$0.03/M

Kecepatan output

220 t/s

Waktu ke token pertama

—

Data diperbarui

22 Sep 2026

Estimasi tagihan bulanan

Permintaan API bulanan: 100,000Token input rata-rata: 1,500Token output rata-rata: 500Rasio hit cache prompt: 50%

Estimasi pengeluaran bulanan

$0.00

Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub

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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}
}