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Gradium TTS
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Gradium TTS is a closed-weights text-to-speech model from Gradium, released December 2025. Licence: proprietary.
Catalogue identity notes
Vapi registry gradium-gradium-tts, apiModelId gradiumtts. Rating-only comparison identity; no price, API or run metadata asserted.
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 Gradium TTS, out of 148 with a score.
| # | model | score | where |
|---|---|---|---|
| 76 | 52±3 | local | |
| 77 | 52±3 | local | |
| 78 | 51±3 | api $38.00/M chars | |
| 79 | 51±14 | local | |
| 80 | 51±5 | api $100.00/M chars |
see all text-to-speech models · find the ones that fit your machine
$ what it's good at
other tests2 not in a task · 97% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Vapi Humanness · Bradley–Terry rating, 2026-09-25 snapshot | 1089.8 ✎ | ▁···▃▃··█▄▁▇ beats 1/18 | 64% |
| Vapi Humanness · historical Elo, 2026-06-10 | 1098.6 ✎ | ▃·▃▃▃·▃██▃·▃ beats 2/12 | 33% |
$ where to run it
Through an API
api · $38.00/M chars · docs.gradium.ai ↗ · price sourceUSD per 1M characters: Gradium states Text-to-Speech uses 1 credit / character and sells additional credits at $3.8 per 100k on the L plan ($1,615/month; lowest published self-serve rate), $4.0 M, $5.0 S, $6.9 XS (x10). Gradium's TTS API has a single default model (model_name 'default'); credits are not model-specific. Product: Gradium text-to-speech API. API model: default Gradium TTS (Vapi id gradiumtts). Settings: L-plan usage-based rate. Price basis: vendor USD-per-credit rate x vendor-stated 1 credit per character. Exclusions: monthly plan fee, included credits, voice cloning. Currency: USD. Gradium official pricing page, observed 2026-09-25.
$ how the score was worked out · The Humanness Index by Vapi ·… 64%, The Humanness Index by Vapi ·… 33%
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 | 64% | |
| 1 | 33% | |
| prior · pull toward the middle | 3% | |
| weighted average | = 50.9 |
$ 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