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.

#34发布于 2026年9月18日·Proprietary·Not disclosed

textaudio32K ctx

API 提供商运行模型 →排行榜

智商指数

87.1 #34

AAQI 87.0

输出速度

220 t/s

ITL 4.5 ms/tok

混合价格 (3:1)

$0.025 /1M

输入 $0.015/M · 输出 $0.03/M

上下文

32K

≈ 80 页 A4 · 最大输出 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

ElevenLabs v4 Turbo

Claude Mythos Preview (#1)

Average (68)

缺少直接基准测量时，雷达图各轴由类别得分近似得出 — 详见评分方法。

优势与取舍

优势所在

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

需要注意的权衡

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

杀手级用例

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.

开发者快速上手与 API

请先设置 ELEVENLABS_API_KEY — 获取 API 密钥

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.

官方资源与链接

发布公告Eleven v4 models 文档API docs API 控制台ElevenLabs app

API 部署

对比托管商与延迟

Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI

查看提供商矩阵 →

各榜单得分

Arena.ai ↗

1395.0

#45 · 1.1k votes · ±7

Artificial Analysis ↗

分类能力得分

速度99.0 多模态94.0 性价比88.0 Intelligence87.1 智能体70.0 知识50.0 长上下文40.0 推理30.0 编程0.0 数学0.0

基准测试分项

实时规格与架构

底层解析

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

发布日期

2026年9月18日

架构

Eleven v4 Turbo — streaming speech synthesis

参数量

Not disclosed

开源协议

Proprietary

上下文窗口

32,000 tokens

最大输出

8,192 tokens

模态

text + audio

缓存价格

读 $0.005 · 写 $0.02 /1M

推理

—

输入价格

$0.015/M

输出价格

$0.03/M

输出速度

220 t/s

首Token延迟

—

数据更新

2026年9月22日

每月账单预估

每月 API 请求数: 100,000平均输入 token 数: 1,500平均输出 token 数: 500提示缓存命中率: 50%

每月预估支出

$0.00

正在计算相对 GPT-4o 的节省额…

引用与嵌入

GitHub Markdown 徽章

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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}
}