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AI audio model
ElevenLabs
ElevenLabs TTS

ElevenLabs Turbo 2.5

ElevenLabs Turbo 2.5 is a retained single-speaker TTS workflow on Kyeo AI. It exposes a voice choice plus stability, similarity boost, style, speed, timestamps, surrounding text, and language code. The workflow remains selectable, but ElevenLabs now recommends Flash v2.5 instead. The Turbo name does not make low latency, language support, timestamp accuracy, voice authorization, or output quality a Kyeo guarantee.

Capability
Text to speech
Credit cost
6 credits / 1000 characters
Prompt limit
5,000 characters
Upload limit
No upload required
Base requests use main text, a voice ID, and eight optional TTS fields
The current main-text limit is 5,000 characters, billed at 6 credits per 1,000 characters rounded up
Timing and surrounding-text fields are available, but alignment and continuity require testing
A fixed voice list and 5,000-character limit make this primarily a single-speaker TTS page
30-second overview
ElevenLabs TTS
6 credits per 1,000 characters
What it does best
Use the retained workflow to test single-speaker TTS controls and segmented text while it remains available. It is not a multi-speaker dialogue, voice-cloning, complete Voice Library, or real-time agent interface.
Best for
It can create narration, explanatory copy, or single-speaker samples, but every result needs checks for pronunciation, numbers, names, pauses, speed, emotion, noise, and content safety. The Turbo name does not establish real-time latency or delivery quality.
Popular searches
How do I use ElevenLabs Turbo 2.5?What does ElevenLabs Turbo 2.5 cost?Is ElevenLabs Turbo 2.5 suitable for low-latency voiceover?

At a glance

What is this model like?

This page documents the TTS fields and local character charge that Kyeo actually sends. It does not claim parity with ElevenLabs' direct API, complete Voice Library, cloning products, or paid-plan license.

What it does best
Use the retained workflow to test single-speaker TTS controls and segmented text while it remains available. It is not a multi-speaker dialogue, voice-cloning, complete Voice Library, or real-time agent interface.
Best for
It can create narration, explanatory copy, or single-speaker samples, but every result needs checks for pronunciation, numbers, names, pauses, speed, emotion, noise, and content safety. The Turbo name does not establish real-time latency or delivery quality.
Why use it on Kyeo AI
The page provides a voice picker, eight optional controls, and an estimated credit cost based on the main-text length.

Key facts

Quickly assess whether this model fits your use case.

Category
AI audio model
Vendor
ElevenLabs
Model family
ElevenLabs TTS
Capability
Asynchronous task
Credit cost
ElevenLabs TTS — Asynchronous task
Runtime
Asynchronous task
Prompt limit
5,000 characters
Upload limit
No upload required

Also known as

The same model may appear under different names across documentation and community discussions; this list keeps them easy to search and compare.

ElevenLabs Turbo 2 5
ElevenLabs TTS — How does ElevenLabs Turbo 2.5 differ from Dialogue V3?
ElevenLabs TTS Turbo
Turbo v2.5

Common questions

These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.

How do I use ElevenLabs Turbo 2.5?
What does ElevenLabs Turbo 2.5 cost?
Is ElevenLabs Turbo 2.5 suitable for low-latency voiceover?
Does ElevenLabs Turbo 2.5 return timestamps?
How does `previous_text` work in ElevenLabs Turbo 2.5?
How does `next_text` work in ElevenLabs Turbo 2.5?
How does `language_code` work in ElevenLabs Turbo 2.5?
How does ElevenLabs Turbo 2.5 differ from Multilingual V2?
How does ElevenLabs Turbo 2.5 differ from Dialogue V3?
Is ElevenLabs Turbo 2.5 suitable for short-form video narration?

Selection guide

Use these decision points when choosing a model.

1
When Turbo 2.5 is still worth testing

Use a short sample when you need to verify this existing Kyeo workflow, a selected voice, and its current TTS fields against an established workflow.

2
When to compare another route

For the current official low-latency recommendation, check whether Flash v2.5 is available. Compare Multilingual V2 for longer or richer delivery and Dialogue V3 for multi-speaker scripts.

3
ElevenLabs TTS: Balance output and credits

Start with a short script containing numbers, dates, names, and punctuation. Change one setting at a time. For timing or segmented context, inspect the actual response fields and clip boundaries.

Popular comparisons

Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.

How does ElevenLabs Turbo 2.5 differ from ElevenLabs Multilingual V2, and which should I choose?
ElevenLabs Turbo 2.5 vs ElevenLabs Multilingual V2
How does ElevenLabs Turbo 2.5 differ from ElevenLabs Dialogue V3?
ElevenLabs Turbo 2.5 vs ElevenLabs Dialogue V3

Model comparison

Compare the current model with alternatives at a glance.

Role on Kyeo AI
ElevenLabs Turbo 2.5
Low-latency single-speaker voiceover baseline
ElevenLabs Multilingual V2
Natural long-form and multilingual narration
ElevenLabs Dialogue V3
Multi-character scripted dialogue
Visible controls
ElevenLabs Turbo 2.5
voice + `stability / similarity_boost / style / speed / timestamps / previous_text / next_text / language_code`
ElevenLabs Multilingual V2
Nearly the same TTS form, tuned for longer and more natural delivery
ElevenLabs Dialogue V3
A multi-line `dialogue[]` script with one voice per line
Current price
ElevenLabs Turbo 2.5
6 credits / 1000 characters
ElevenLabs Multilingual V2
12 credits / 1000 characters
ElevenLabs Dialogue V3
14 credits / 1000 characters
Best-fit task
ElevenLabs Turbo 2.5
Short narration, rapid delivery, and editing-friendly single-speaker TTS
ElevenLabs Multilingual V2
Long narration, cross-language content, and higher naturalness
ElevenLabs Dialogue V3
Podcasts, short dramas, and interactive multi-speaker scripts

Practical usage insights

Practical guidance based on public sources, current on-site limits, and representative tasks.

Turbo v2.5 is no longer the current first-choice low-latency model

ElevenLabs calls it a first-generation low-latency model outclassed by Flash and names Flash v2.5 as its replacement.

A visible voice is not proof of authorization

Voice identity, source, consent, and permitted use require separate verification.

Capabilities

Single-speaker TTS controls

Requests can include voice, stability, similarity boost, style, speed, timestamps, previous text, next text, and language code. These are request conditions, not guarantees of emotion, similarity, speed, or naturalness.

Timing and segmented-context requests

`timestamps` requests timing data, while surrounding text provides context for segmented generation.

Main-text character billing

Local billing uses JavaScript `length` for the main text and rounds 6 credits per 1,000 characters upward. Previous and next context are excluded from the local count.

Official 32-language background is not full Kyeo coverage

ElevenLabs lists 32 languages for Turbo 2.5. Use an appropriate language code and confirm pronunciation with representative text.

Use cases

Single-speaker narration samples

Test voice, pronunciation, pacing, and settings with a short script before considering longer content.

Segmented-text experiments

Use `previous_text` and `next_text` to provide context, then check pauses, voice consistency, and continuity segment by segment instead of assuming automatic seamlessness.

Audio with requested timing data

Enable timestamps and verify that the response contains usable timing data at the precision your subtitle or editing workflow needs.

Prompt tips

Normalize numbers, dates, and names first

Low-latency v2.5 models may read numbers unexpectedly. Write phone numbers, currency, dates, abbreviations, and names in the form you want spoken.

Change one setting at a time

Keep text and voice fixed while testing stability, similarity, style, and speed so differences remain attributable.

Test both context and timing outputs

Neither surrounding text nor timestamps guarantees seamless clips or exact alignment. Listen at segment boundaries, then compare returned data with subtitle boundaries and the audio duration.

Why choose it

The form groups the voice picker and primary TTS settings.
Local per-character billing is stated before submission.
Surrounding-text and timing requests support segmented experiments.
A language code can be submitted, subject to actual result validation.

What to know first

ElevenLabs now recommends Flash v2.5 over Turbo 2.5.
A voice shown on the page is not itself a commercial license; verify source, permission, and consent before use.
There is no output-format, sample-rate, channel, or text-normalization control.
Timestamp granularity, accuracy, segment continuity, and response shape depend on the returned result; check a representative sample before production use.
The current integration accepts up to 5,000 characters; language codes and context behavior still need task-specific checks.
Kyeo does not grant or guarantee voice consent, commercial licensing, publicity rights, or release compliance based on generation, a voice name, or credit charge.

Adjustable parameters

Quickly assess whether this model fits your use case.

Voice
voice
Required
Parameter type: select
Default: TX3LPaxmHKxFdv7VOQHJ
Ellen
Juniper
Jane
James
Arabella
Hope
113 available options
Stability
stability
Optional
Parameter type: number
Default: 0.5
Range 0 - 1
Similarity boost
similarity_boost
Optional
Parameter type: number
Default: 0.75
Range 0 - 1
Style exaggeration
style
Optional
Parameter type: number
Default: 0
Range 0 - 1
Speech speed
speed
Optional
Parameter type: number
Default: 1
Range 0.7 - 1.2
Timestamps
timestamps
Optional
Parameter type: select
Default: false
Off
On
Previous context
previous_text
Optional
Parameter type: text
Following context
next_text
Optional
Parameter type: text
Language code
language_code
Optional
Parameter type: text

Credit usage

6 credits per 1,000 characters

Raw rate 6 credits per 1000 main-text characters; local debit Math.ceil(main-text characters × 6 / 1000), min=1 credit. previous_text and next_text are excluded.

Budget tip

Before batch generation, run an A/B test with the same assets across the current model and alternatives to validate quality and avoid wasting credits.

FAQ

Related models

Compare these similar candidates before deciding.

ElevenLabs Multilingual V2

ElevenLabs Multilingual V2 is Kyeo AI's current single-speaker, high-naturalness voiceover page. It shares a similar form with Turbo 2.5, but the task boundary differs: Turbo is a fast voiceover baseline, while Multilingual V2 is aimed at long-form narration, cross-language content, and sustained brand voice. Kyeo still uses a fixed voice list and a 5,000-character entry, so the practical decision is whether the listening experience justifies twice Turbo's per-character cost.

AI audio model
12 credits / 1000 characters

ElevenLabs Dialogue V3

ElevenLabs Dialogue V3 provides line-by-line dialogue generation: enter each turn, choose a voice, and pay by total dialogue length. It is not a real-time voice agent, and ElevenLabs notes that users may need multiple generations to find a usable result. Start with a sample to check speaker changes, audio tags, language code, output format, and long-script completeness.

AI audio model
14 credits / 1000 characters

Suno Music

Suno Music is Kyeo AI's text-to-music entry. The active form exposes a prompt, version selector, and instrumental switch. Eligible successful results can launch extension, WAV conversion, or vocal separation. Lyrics, title, style weights, Persona, Voices, Custom Models, My Taste, and other controls from Suno's own product are not exposed here.

AI audio model
12 credits per generation or extension

Sources

Content is based on model documentation, feature references, and the settings available on Kyeo AI.

Source note

Review Turbo 2.5 on Kyeo AI: a 5,000-character limit, voice controls, timestamps, context, 6 credits per 1,000 characters, and Flash migration risk. Raw rate 6 credits per 1000 main-text characters; local debit Math.ceil(main-text characters × 6 / 1000), min=1 credit. previous_text and next_text are excluded.

Last updated: 2026-07-20
ElevenLabs Docs: Models
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ElevenLabs Docs: Text to Speech
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ElevenLabs API: Speech with timing
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ElevenLabs Billing and content rights
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ElevenLabs Prohibited Use Policy
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