How much does Whisper Large V3 cost?

Whisper Large V3 pricing starts at $0.97 per million input tokens and $undefined per million output tokens via Groq, the lowest price among tracked providers.

Who created Whisper Large V3?

Whisper Large V3 was created by OpenAI.

What is the license for Whisper Large V3?

Whisper Large V3 is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Whisper Large V3 multimodal?

Yes, Whisper Large V3 is multimodal and can accept both text and images as input.

Where can I use Whisper Large V3?

Whisper Large V3 is available through 1 provider including Groq.

Whisper Large V3 Pricing, Performance & Examples

Name: Whisper Large V3
Author: OpenAI

Whisper Large V3: Pricing, Performance & Examples

Whisper Large V3 is a speech-to-text model from OpenAI, released in November 2024, with a 100M-token context window, and pricing from $0.970 per 1M input tokens.

State-of-the-art multilingual transcription with high accuracy. 10.3% WER, 189x real-time speed. Served by Groq.

Input

Audio

Output

Text

Whisper Large V3 pricing

Providers

Whisper Large V3 starts at $0.970 per million input tokens via Groq.

Provider	Input $/M	Output $/M	Context in / out	TTFT p50 / p95 s	Output avg / p5 c/s	Success 7d	Modalities in / out
Groq	$0.970	—	100.0M/—	—/—	—/—	—	/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests. Success is calculated from completed versus failed requests over the trailing seven days.

Whisper Large V3 context window

Input and output token limits for Whisper Large V3, plus how it ranks on long-context understanding.

Input

100Mtokens

≈ 150.4k pages of text

100M

8K128K1M

Whisper Large V3 API

POST/v1/stt/transcribe

Modelwhisper-large-v3

API key●

Audio file●

Choose a file

Any audio format up to 25 MB.

Language (ISO 639-1)

Missing Audio file

Run a request to see the response

Use it in your code

OpenAI-compatible endpoint through the LLM Stats gateway.

import requests

with open("audio.mp3", "rb") as f:
    response = requests.post(
        "https://gateway.llm-stats.com/v1/stt/transcribe",
        headers={"Authorization": "Bearer YOUR_API_KEY"},
        files={"file": f},
        data={"model_id": "whisper-large-v3"},
    )

print(response.json()["text"])

Need an API key? Create one above in the playground, or read the API documentation.

Whisper Large V3 latency

Whisper Large V3 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Whisper Large V3 license

Whisper Large V3 is released under the Apache 2.0 license, which permits commercial use.

License: Apache 2.0; Commercial use allowed

Apache License 2.0 - allows commercial use