AI Tool Profile

Whisper large-v3-turbo

OpenAI’s downloadable large-v3-turbo speech-recognition weights.

Before you buy

Best for: Creators considering local transcription who can check the exact model/runtime and correct the result.

Price: Canada/CAD: C$0 MIT weights; runtime and compute separate

Included: The MIT weights can be used through a compatible local runtime. A weight download includes neither a transcription application nor hosted processing.

Main limits: The model can produce errors or text not present in the audio. Quantization, VAD and language/script choices matter; do not infer reliable speaker labels or universal accuracy.

What Kingy showed: The retained thirty-minute comparison ran the Q5_0 artifact through whisper.cpp on CPU. It scored 15.34% English WER and 30.84% on the one Hindi-English slice.

Buying details checked 2026-10-22 with region and currency stated above. Historical demonstrations and the broader fact ledger keep their own dates.

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Kingy AI Product Facts

Whisper large-v3-turbo

Current statusUnknown

Company
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Primary job
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Audience
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Evidence
Source-backed; coverage expanding
Latest source check
October 23, 2026
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Sources and checks

Coverage
1 of 87 tracked fields currently verified
Sources
1

Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.

Plans and pricing units

Not yet structured in this Kingy record.

Where it runs

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Stack and integrations

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Integrations
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Data and regions

Vendor data-use claim
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Vendor retention claim
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Launch and latest material update

Launch
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Latest material update
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Review history
  1. Whisper large-v3-turbo — Product Facts updated

    Kingy published an approved change to this Product Facts record.

    View published revision
  2. Whisper large-v3-turbo — Product event recorded

    Kingy recorded a product event. This entry does not verify every claim in the profile.

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Technical evidence and revision history
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Which plan is worth considering

Canada/CAD: C$0 MIT weights; runtime and compute separate. The MIT weights can be used through a compatible local runtime. A weight download includes neither a transcription application nor hosted processing.

Limits that affect the purchase

The model can produce errors or text not present in the audio. Quantization, VAD and language/script choices matter; do not infer reliable speaker labels or universal accuracy. Free weights do not include a computer, storage, electricity or a hosted OpenAI API allowance. Use a compatible inference runtime and record its exact revision. This profile is for the weights; whisper.cpp is the separate tested runtime.

What the existing demonstration shows

The retained thirty-minute comparison ran the Q5_0 artifact through whisper.cpp on CPU. It scored 15.34% English WER and 30.84% on the one Hindi-English slice. Those measurements do not establish full-precision model performance or scores on a new corpus. The script-sensitive mixed-language result is not a general language ranking. This describes the dated retained Kingy record, not a new product test. See the retained Kingy demonstration.

Sources and buying-review date

Buying details checked October 22, 2026. Plan research uses current official sources; demonstration descriptions use the retained Kingy record and any captured creator chapters. No new subscription, paid generation or checkout was performed. The buying-review date does not renew every claim in the broader facts ledger.

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Alternatives

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Launch History

No structured launch records are linked to this tool yet.