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Whisper Large v3 Turbo from OpenAI: $0.002 input and $0.002 output per 1M tokens, 448 context. Speech transcription model for accurate audio-to-text and captioning workflows Data last refreshed Oct 14, 2026, 05:43 PM UTC.

Models / OpenAI / Whisper Large v3 Turbo

OpenAI · whisper

Whisper Large v3 Turbo

Speech transcription model for accurate audio-to-text and captioning workflows

$0.002 in · $0.002 out

per 1M tokens · provider rate closest to the median. No first-party OpenAI price was listed. The reference price is evroc's rate, the provider closest to the median.

Context
448
Max output
448
Cache read
—
Cache write
—
Reasoning
No
Tool calls
No
Structured output
Unknown
Vision
No
Open weights
Yes
License
—
Released
Oct 1, 2024
Updated in source
Oct 1, 2024
Knowledge
—
Providers
2

What this model costs per month

Prices are USD per 1M tokens. A month is 30 days. Cache hits use the cache-read rate when the model has one; otherwise the cache field is ignored.

Estimated monthly cost

Whisper Large v3 Turbo

$0.02

Cache hit is ignored because this model has no cache-read price.

monthly = requests/day × 30 × (input tokens × (1 − cache hit) × input price + input tokens × cache hit × cache-read price + output tokens × output price) ÷ 1,000,000

Providers

Base rates from Models.dev. One row per provider.
ProviderInputOutputCache readCache writeStatus
evrocreference$0.002$0.002———
Kenari$0$0———