whatmodel.sh / tts / Inworld Realtime TTS-2
Inworld Realtime TTS-2
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Inworld Realtime TTS-2 is a closed-weights text-to-speech model from Inworld, released August 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 Inworld Realtime TTS-2, out of 148 with a score, then more from Inworld.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 46 | 62±4 | local | |||
| 47 | 61±3 | api $50.00/M chars | |||
| 48 | 61±2 | api $25.00/M chars | |||
| 49 | 61±1 | local | |||
| 50 | 60±2 | local | |||
| more from Inworld | |||||
| 41 | 62±3 | api $10.00/M chars | |||
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests7 not in a task · 99% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot | 1197.8 ✎ | ▁···▁▃··█▄▁▇ beats 8/18 | 29% |
| Vapi Humanness · historical Elo, 2026-06-10 | 1189.4 ✎ | ▃·▃▃▃·▃██▃·▃ beats 4/12 | 15% |
| ZTTS1-Eval in-the-wild · 10-language mean WER | 3.8% ✎ | ▄·····█··▄██ beats 1/7 | 13% |
| ZTTS1-Eval Clean (FLEURS-R) · 9-language mean WER | 4.5% ✎ | ▄·····▄█▄█·▄ beats 3/7 | 12% |
| ZTTS1-Eval in-the-wild · 10-language mean MSR-UTMOS | 2.81 / 5 ✎ | █··▄█▄····▄▄ beats 4/7 | 11% |
| ZTTS1-Eval Clean (FLEURS-R) · 9-language mean MSR-UTMOS | 3.18 / 5 ✎ | ▃▃█···▃···▃▃ beats 3/7 | 10% |
| RW-Voice-EQ TTS · Acoustic Quality (human) | 3.33 / 5 ✎ | █·█········▄ beats 1/4 | 8.2% |
$ where to run it
Through an API
api · Replicate · $25.00/M chars · replicate.com ↗ · price sourceUSD per 1M input characters. Realtime TTS 2.0, standard hosted endpoint. Character billing, not a token conversion. Replicate output/character billing; hardware-time rates are not added to this tariff. Taxes and separate services excluded. Bertrande, https://bertrande.com/en/ai/replicate/inworld--realtime-tts-2; observed 2026-09-20T01:44:15Z. CC BY 4.0; units normalized and model identifier mapped.
$ how the score was worked out · ZONOS2 Technical Report (ZTTS… 46%, The Humanness Index by Vapi ·… 29%, The Humanness Index by Vapi ·… 15% and 1 more
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 |
|---|---|---|
| 4 | 46% | |
| 1 | 29% | |
| 1 | 15% | |
| 1 | 8% | |
| prior · pull toward the middle | 1% | |
| weighted average | = 61.0 |
$ 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