whatmodel.sh / tts / MiniMax Speech 2.8 Turbo
MiniMax Speech 2.8 Turbo
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MiniMax Speech 2.8 Turbo is a closed-weights text-to-speech model from MiniMax, released February 2026. 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 MiniMax Speech 2.8 Turbo, out of 148 with a score, then more from MiniMax.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 13 | 67±3 | api $6.00/M chars | |||
| 14 | 67±2 | comparison only | |||
| 15 | 66±3 | api $60.00/M chars | |||
| 16 | 66±2 | local | |||
| 17 | 66±4 | local | |||
| more from MiniMax | |||||
| 19 | 66±2 | api $100.00/M chars | |||
| 36 | 63±3 | api $100.00/M chars | |||
| 51 | 60±3 | api $60.00/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 · 96% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot | 1269.5 ✎ | ▁···▁▃··█▄▁▇ beats 15/18 | 96% |
$ where to run it
Through an API
api · $60.00/M chars · platform.minimax.io ↗ · price sourceUSD per 1M input characters (MiniMax lists $60 / M characters; sync T2A and async T2A same rate). Product: MiniMax pay-as-you-go text-to-audio (T2A). API model: speech-2.8-turbo. Settings: pay-as-you-go. Price basis: published list rate. Exclusions: voice design/cloning fees. Currency: USD. MiniMax official pay-as-you-go pricing page, observed 2026-09-25.
$ how the score was worked out · The Humanness Index by Vapi ·… 96%
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 | 96% | |
| prior · pull toward the middle | 4% | |
| weighted average | = 65.9 |
$ 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