whatmodel.sh / tts / Chirp 3: HD
Chirp 3: HD
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Chirp 3: HD is a closed-weights text-to-speech model from Google, released March 2025. 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 Chirp 3: HD, out of 148 with a score, then more from Google.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 20 |  dots.tts SOAR 2B | 65±2 | local | ||
| 21 |  Eleven v3 | 65±1 | api $100.00/M chars | ||
| 22 | Chirp 3: HD | 65±4 | api $30.00/M chars | ||
| 23 |  Higgs Audio V3 TTS | 65±3 | api $15.00/M chars +local | ||
| 24 |  Raon-OpenTTS-0.3B | 65±2 | comparison only | ||
| more from Google | |||||
| 3 |  Gemini 2.5 Flash Preview TTS | 72±3 | comparison only | ||
| 6 | Gemini 2.5 Pro Preview TTS | 69±3 | comparison only | ||
| 8 | Gemini 3.1 Flash TTS Preview | 69±2 | 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 · 94% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| CN-NewsTTS v0.1 · strict pronunciation accuracy | 60.4% ✎ | █··▄·█··▄··▄ beats 4/6 | 94% |
$ where to run it
Through an API
api · Google Cloud · $30.00/M chars · cloud.google.com ↗ · price sourceUSD per 1M characters: Google Cloud lists Chirp 3: HD voices at US$0.00003 per character (US$30 per 1 million characters) after the first 1M free characters per month. Product: Cloud Text-to-Speech. API model: Chirp 3: HD voices. Settings: standard. Price basis: published list rate. Exclusions: monthly free tier, instant custom voice. Currency: USD. Google Cloud official pricing page, observed 2026-09-25.
$ how the score was worked out · CN-NewsTTS Bench v0.1 94%
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 |
|---|---|---|
 CN-NewsTTS Bench v0.1 | 1 | 94% |
| prior · pull toward the middle | 6% | |
| weighted average | = 65.1 |
$ 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