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Whisper Large V3 Turbo

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a 12% word error rate, and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. Achieves real-time speed factors up to 216x, making it well-suited for latency-sensitive and high-throughput transcription workloads.

Pricing

Input Price
$40000.0000
/ 1M tokens
NT$ 1263201.68
Output Price
Free
/ 1M tokens
Context Window
tokens

💱 匯率 USD/NTD = 31.58 · 不含稅 · 更新於 2026/06/10

ProviderWOpenAI
Released2026年5月
Model IDwhisper-large-v3-turbo

Technical specifications

Context window
— tokens
Reasoning
Input
Audio
Output
Not specified
!
此模型已下架 — API 呼叫會回傳 HTTP 410,但本頁面保留以利歷史查詢

Quick Start

Use Whisper Large V3 Turbo via BazaarLink API — just change the base_url:

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://bazaarlink.ai/api/v1",
    api_key="sk-bl-YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="whisper-large-v3-turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://bazaarlink.ai/api/v1",
  apiKey: "sk-bl-YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "whisper-large-v3-turbo",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Whisper Large V3 Turbo via BazaarLink?

  • USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
  • OpenAI-compatible API — zero code changes required
  • Automatic failover — multi-provider redundancy for the same model
  • Chinese-language support — local team, instant help
Try Now← All Models

Frequently Asked Questions

What is Whisper Large V3 Turbo?

Whisper Large V3 Turbo is an optimized version of OpenAI's Whisper Large V3 speech recognition model, designed for speed and cost efficiency. It supports transcription across 99+ languages with a 12% word error rate, and accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg. Achieves real-time speed factors up to 216x, making it well-suited for latency-sensitive and high-throughput transcription workloads.

How much does the Whisper Large V3 Turbo API cost?

Whisper Large V3 Turbo costs $40000.0000 per 1K input tokens and $0.0000 per 1K output tokens when accessed through BazaarLink.

How do I use Whisper Large V3 Turbo with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "whisper-large-v3-turbo". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Whisper Large V3 Turbo?

Whisper Large V3 Turbo supports a context window of 0 tokens.

Is Whisper Large V3 Turbo available for free?

Yes — Whisper Large V3 Turbo is available at no cost through BazaarLink's free tier. No credit card required.

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尚無此模型的檢測資料

BazaarLink Probe 對聲稱提供此模型的 endpoint 進行家族指紋驗證與 V3 子模型對照。 如發現行為與真貨基準不符,會列入異常案例。

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