N/A
audio
text
Not listed
About this model
MAI-Transcribe-1.5 is Microsoft's high-accuracy multilingual speech-to-text model designed for fast production-scale transcription across 43 languages. It combines low word error rates with very high transcription throughput and is optimized for meetings, calls, media, enterprise transcription, subtitles, voice applications, and noisy real-world audio. The model supports automatic multilingual transcription and keyword biasing for domain-specific terminology such as names, products, medical terms, and internal acronyms. Microsoft reports that keyword biasing can reduce word error rate by up to 30% on FLEURS. The model is optimized for batch transcription and can process an hour of audio in under 15 seconds under Microsoft's high-throughput measurements.
Input modalities
audio
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Speech transcription
$0.360 / hour
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Speech transcriptionSTT | $0.360 / hour |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl -X POST https://api.oneinfer.ai/v1/ula/transcribe \ -H "Authorization: Bearer YOUR_JWT_TOKEN" \ -F "provider=openrouter" \ -F "model=microsoft/MAI-Transcribe-1.5" \ -F "file=@audio.mp3"
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