ElevenLabs
ElevenLabs Scribe v2
ElevenLabs’ second-generation speech-to-text — 90+ languages, speaker diarization and sub-200ms streaming.
Intelligence
92.5 #10
AAQI 93.0
Output Speed
240 t/s
ITL 4.2 ms/tok
Blended price (3:1)
$0.01 /1M
In $0.008/M · Out $0.016/M
Context
64K
≈ 160 A4 pages · max out 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
ElevenLabs Scribe v2
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
- Top-tier WER across 90+ languages
- Realtime partials fast enough for barge-in agents
- Built-in diarization — no extra pipeline
Trade-offs to watch
- STT only — pair with an LLM and TTS for full loops
- Per-minute pricing adds up on call centers
- No on-prem option
Killer Use Cases
Voice-agent front end
Streaming transcripts with low-latency turn detection.
Meeting intelligence
Diarized, timestamped records at scale.
Multimedia subtitling
Multi-language caption pipelines.
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": "scribe_v2"}' \
--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": "scribe_v2"},
)
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: "scribe_v2" }),
});
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
Step Audio 2+3.5
Claude Fable 5-0.9
GPT-Image 2-0.6
Grok Imagine Quality-0.1Live Specs & Architecture
Under the hood
Scribe v2 — streaming speech recognition
- 90+ languages with automatic language ID
- Speaker diarization and word-level timestamps
- Sub-200ms partial transcripts for live agents
- Noise-robust far-field microphone handling
Release date
Oct 19, 2026
Architecture
Scribe v2 — streaming speech recognition
Parameters
Not disclosed
License
Proprietary
Context Window
64,000 tokens
Max Output
8,192 tokens
Modalities
audio
Cache Pricing
read $0.003 · write $0.01 /1M
Reasoning
—
Input Price
$0.008/M
Output Price
$0.016/M
Output Speed
240 t/s
Time to First Token
—
Data Updated
Oct 22, 2026
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
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@misc{llmpodium2026elevenlabsscribev2,
title = {Benchmark Analysis and Intelligence Evaluation of ElevenLabs Scribe v2},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/elevenlabs-scribe-v2}
}Embed Score Badge
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