whatmodel.sh / tts / Eleven Turbo v2.5
Eleven Turbo v2.5
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Eleven Turbo v2.5 is a closed-weights text-to-speech model from ElevenLabs, released July 2024. Licence: proprietary.
Score within the Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot comparison set only.
$ how it compares
The text-to-speech models ranked either side of Eleven Turbo v2.5, out of 148 with a score, then more from ElevenLabs.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 28 | 64±1 | local | |||
| 29 | 64±4 | local | |||
| 30 | 64±4 | api $50.00/M chars | |||
| 31 | 63±3 | api $15.00/M chars | |||
| 32 | 63±1 | local | |||
| more from ElevenLabs | |||||
| 21 | 65±1 | api $100.00/M chars | |||
| 38 | 63±2 | api $50.00/M chars | |||
| 45 | 62±3 | api $50.00/M chars | |||
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests1 not in a task · 93% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Vapi Humanness · historical Elo, 2026-06-10 | 1234.2 ✎ | ▃·▃▃▃·▃██▃·▃ beats 10/12 | 93% |
$ where to run it
Through an API
api · $50.00/M chars · elevenlabs.io ↗ · price sourceUSD per 1M input characters: ElevenLabs lists Flash / Turbo Text to Speech at $0.05 per 1K characters (x1000). Product: ElevenAPI text to speech. API model: eleven_turbo_v2_5. Settings: standard API rate (same per-1K rate on pay-as-you-go and plan tiers shown). Price basis: published list rate, per-1K to per-1M scaling only. Exclusions: subscription fees, taxes. Currency: USD. ElevenLabs official API pricing page, observed 2026-09-25.
$ how the score was worked out · The Humanness Index by Vapi ·… 93%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
| 1 | 93% | |
| prior · pull toward the middle | 7% | |
| weighted average | = 63.5 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json