Independent
ElevenLabs v4 Turbo
Ultra-low latency speech synthesis engine with sub-80ms streaming TTFT, emotional prosody control, and conversational turn-taking support.
Intelligence
87.1 #34
AAQI 87.0
Output Speed
220 t/s
ITL 4.5 ms/tok
Blended price (3:1)
$0.025 /1M
In $0.015/M · Out $0.03/M
Context
32K
≈ 80 A4 pages · max out 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
ElevenLabs v4 Turbo
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.
Strengths & Trade-offs
Where it wins
- Real-time conversational latency
- Granular pronunciation control via IPA
- Cross-turn voice consistency for agents
- 220 t/s-class generation speed
Trade-offs to watch
- Audio output only — no text reasoning
- Voice cloning requires consent verification
Killer Use Cases
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.
Developer Quickstart & API
Set
ELEVENLABS_API_KEY first — get an API keycurl -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.mp3import 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.
Official Resources & Links
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Groq
Cerebras
Together AI
DeepInfra
Fireworks AI
AWS Bedrock
Azure AIScores by Source
Category Scores
Benchmark Results
Head-to-head Live Matchups
Claude 5.5 Haiku-0.4
Wan 2.2 A14B-0.3Live Specs & Architecture
Under the hood
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
Release date
Sep 18, 2026
Architecture
Eleven v4 Turbo — streaming speech synthesis
Parameters
Not disclosed
License
Proprietary
Context Window
32,000 tokens
Max Output
8,192 tokens
Modalities
text + audio
Cache Pricing
read $0.005 · write $0.02 /1M
Reasoning
—
Input Price
$0.015/M
Output Price
$0.03/M
Output Speed
220 t/s
Time to First Token
—
Data Updated
Sep 22, 2026
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
Loading badge markdown...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}
}Embed Score Badge
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