Whisper V3 (STT)
Whisper V3 (STT) costs $0.060/req on FairStack — a speech to text model for Default STT, Transcription, Voice command processing. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is Whisper V3 (STT)?
Whisper V3 is OpenAI's industry-standard speech-to-text model, supporting transcription across more than 90 languages with excellent accuracy. It has become the default choice for audio-to-text conversion across the industry, combining strong recognition accuracy of 0.92 with robust noise handling capabilities rated at 0.85. The model processes audio quickly with low latency, making it practical for both batch transcription and near-real-time applications. Its multilingual support score of 0.90 reflects strong performance across a wide range of languages, dialects, and accents. Whisper V3 handles challenging audio conditions including background noise, overlapping speakers, and varying recording quality. Compared to ElevenLabs STT which offers per-minute pricing better suited for long-form audio, Whisper V3 uses per-request pricing that works well for shorter clips and standard transcription tasks. As the most widely adopted STT model, it benefits from extensive testing and optimization across diverse audio sources and recording conditions. Best suited for transcription workflows, voice command processing, multilingual audio content, meeting recordings, and any speech-to-text application where accuracy and language coverage are priorities. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are Whisper V3 (STT)'s strengths?
What are Whisper V3 (STT)'s limitations?
What is Whisper V3 (STT) best for?
How much does Whisper V3 (STT) cost?
How does Whisper V3 (STT) perform across capabilities?
How do I use the Whisper V3 (STT) API?
curl -X POST https://api.fairstack.ai/v1/generations/voice \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "whisper-v3",
"prompt": "Your prompt here"
}'import requests
response = requests.post(
"https://api.fairstack.ai/v1/generations/voice",
headers={
"Authorization": f"Bearer {FAIRSTACK_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": "whisper-v3",
"prompt": "Your prompt here",
},
)
result = response.json()
print(result["url"])const response = await fetch(
"https://api.fairstack.ai/v1/generations/voice",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.FAIRSTACK_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "whisper-v3",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);Frequently Asked Questions
How much does Whisper V3 (STT) cost?
Whisper V3 (STT) costs $0.060/req on FairStack as of 2026-05-13. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is Whisper V3 (STT) and what is it best for?
Whisper V3 is OpenAI's industry-standard speech-to-text model, supporting transcription across more than 90 languages with excellent accuracy. It has become the default choice for audio-to-text conversion across the industry, combining strong recognition accuracy of 0.92 with robust noise handling capabilities rated at 0.85. The model processes audio quickly with low latency, making it practical for both batch transcription and near-real-time applications. Its multilingual support score of 0.90 reflects strong performance across a wide range of languages, dialects, and accents. Whisper V3 handles challenging audio conditions including background noise, overlapping speakers, and varying recording quality. Compared to ElevenLabs STT which offers per-minute pricing better suited for long-form audio, Whisper V3 uses per-request pricing that works well for shorter clips and standard transcription tasks. As the most widely adopted STT model, it benefits from extensive testing and optimization across diverse audio sources and recording conditions. Best suited for transcription workflows, voice command processing, multilingual audio content, meeting recordings, and any speech-to-text application where accuracy and language coverage are priorities. Available on FairStack at infrastructure cost plus a 20% platform fee. Whisper V3 (STT) is best for Default STT, Transcription, Voice command processing. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does Whisper V3 (STT) have an API?
Yes. Whisper V3 (STT) is available via FairStack's REST API at api.fairstack.ai. Send a POST request to /v1/generations/voice with your API key and prompt. Works with curl, Python requests, Node.js fetch, and any HTTP client. No SDK installation required.
How does Whisper V3 (STT) compare to other voice models?
Whisper V3 (STT) excels at Default STT, Transcription, Voice command processing. It is a speech to text model priced at $0.060/req on FairStack. Key strengths: Industry-standard STT accuracy, Excellent multilingual support (90+ languages). Compare all voice models at fairstack.ai/models.
What makes Whisper V3 (STT) effective for speech recognition?
Whisper V3 (STT) excels with industry-standard stt accuracy and excellent multilingual support (90+ languages). Generation typically completes in under 5 seconds.
What are the known limitations of Whisper V3 (STT)?
Key limitations include: per-request pricing regardless of audio length; not optimized for very long audio. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is Whisper V3 (STT)?
Whisper V3 (STT) typically completes in under 5 seconds. This makes it suitable for real-time applications, interactive workflows, and high-volume batch processing.
What voice features does Whisper V3 (STT) support?
Whisper V3 (STT) offers: industry-standard accuracy (0.92); 90+ languages with strong multilingual support (0.90); handles noisy audio well (0.85); fast processing with low latency (0.80). All capabilities are accessible through both the FairStack web interface and REST API.