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Inworld STT-1
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Inworld STT-1 is a closed-weights speech-to-text model from Inworld. Licence: proprietary.
Catalogue identity notes
Inworld's speech-to-text model, API modelId inworld/inworld-stt-1 (Inworld STT overview: 'Use synchronous transcription for complete audio files, and bidirectional WebSocket streaming for live audio. Both run the inworld/inworld-stt-1 model.'; 30 languages, Voice Profile signals). verli ran exactly modelId 'inworld/inworld-stt-1' in July 2026. First-party release month not found, so released is left out. Closed weights.
Score within the Open ASR English short-form WER (March 2026) comparison set only.
$ how it compares
The speech-to-text models ranked either side of Inworld STT-1, out of 176 with a score.
| # | model | score | where |
|---|---|---|---|
| 21 | 62±8 | api $0.0060/audio min | |
| 22 | 62±5 | api $0.0060/audio min | |
| 23 | 62±6 | api $0.0025/audio min | |
| 24 | 62±4 | comparison only | |
| 25 | 62±2 | api $0.0042/audio min +local |
see all speech-to-text models · find the ones that fit your machine
$ what it's good at
other tests2 not in a task · 88% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| verli STT benchmark · LibriSpeech test-clean WER | 1.7% ✎ | ▃·····▃▅█▃▅▅ beats 9/11 | 62% |
| verli STT benchmark · Earnings-22 WER (2,741 utt.) | 10.3% ✎ | ▃·▃▅··▃▃▅▅█▃ beats 11/13 | 27% |
$ where to run it
Through an API
api · $0.0025/audio min · docs.inworld.ai ↗ · price sourceUSD per input audio minute: Inworld's pricing page lists 'STT 1 $0.15/hr' on the On-Demand plan (÷60); paid plans list $0.10/hr after plan discounts. Product: Inworld Speech-to-Text API (sync /stt/v1/transcribe and WebSocket streaming). API model: inworld/inworld-stt-1. Settings: On-Demand plan. Price basis: published list rate. Exclusions: monthly plan fees and plan discounts. Currency: USD. Inworld official pricing page, observed 2026-10-09.
$ how the score was worked out · verliapp/stt-benchmark · inde… 88%
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 |
|---|---|---|
| 2 | 88% | |
| prior · pull toward the middle | 12% | |
| weighted average | = 62.0 |
$ 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