OpenAI-compatible
Drop-in /v1/audio/transcriptions. Change one base_url and keep your existing SDK, prompts and pipelines.
OpenAI-compatible · speech-to-text live
The elemental inference API.
Fast, affordable AI inference behind one clean API. Start with speech-to-text — drop-in compatible, from ~$0.15 per hour of audio, 230× realtime, across 50+ languages. LLM, TTS and realtime next.
Backed by the Google for Startups Cloud Program
support-call.mp3transcribing
12.4s audio · 54 ms processing · 230× realtime
230×
realtime throughput
~$0.15
per hour of audio
50+
languages, auto-detected
<1s
latency for short clips
Why Inferentium
Inference, refined to the element.
Everything you need to ship audio intelligence — priced like a commodity, engineered like a product.
230× realtime
A 90-minute recording transcribes in about 25 seconds on our fleet of latest-generation NVIDIA GPUs. Batched and autoscaled, so throughput holds under load.
50+ languages
Automatic language detection with consistent accuracy across English, Spanish, Portuguese, French, German, Japanese and more.
Prepaid credits
Pay per second of audio. No subscriptions, no minimums. Top up with a card and spend down transparently.
Sync & async
Upload and wait, or submit a job and get a signed webhook when it is done. Built for clips and for hours-long files.
One API, many models
Speech-to-text today; LLM, text-to-speech and realtime streaming on the same keys, credits and billing next.
How it works
Live in three steps.
No infrastructure to run, no models to host, no GPUs to babysit.
01
Create a key
Sign up and generate an API key in seconds. Free credits to start — no card required.
02
Change one line
Point your existing SDK at our base URL. The rest of your code keeps working exactly as it is.
03
Ship
Transcribe a clip in under a second or hours of audio in seconds. Pay only for what you process.
Quickstart
One base_url. That is the whole migration.
Use the SDK you already have, or call the REST endpoint directly.
transcribe.py
from openai import OpenAIclient = OpenAI( base_url="https://api.inferentium.ai/v1", # the only change api_key="tapi_...",)tx = client.audio.transcriptions.create( model="inferentium-stt", file=open("call.mp3", "rb"),)print(tx.text)Comparison
Priced like a commodity.
The same drop-in interface, at a fraction of the cost.
| Inferentium | Whisper API | Typical managed ASR | |
|---|---|---|---|
| Price per hour of audio | ~$0.15 | $0.36 | $0.25 – $1.44 |
| Speed (realtime factor) | 230× | ~10–20× | 1–15× |
| OpenAI-compatible API | Yes | Native | Rarely |
| Billing | Prepaid, per second | Per minute, postpaid | Subscription / commit |
| Async jobs + webhooks | Included | No | Varies |
Based on public list prices as of 2026. Actual throughput varies with audio length and concurrency.
Your audio is not training data
We use your audio only to produce your transcript. Nothing is retained to train models.
Prepaid, no lock-in
No subscription and no minimum commitment. Spend credits as you go and stop whenever you want.
Data residency options
Dedicated fleets and regional deployment (US / EU / BR) available for enterprise plans.
Pricing
Commodity pricing. No lock-in.
Billed per second of audio via prepaid credits. Estimate: 1,000 hours ≈ $150.
Pay as you go
$0.15 / hour of audio
- OpenAI-compatible API
- 50+ languages, auto-detected
- Sync & async modes
- Prepaid credits, no minimums
Scale
Volume discounts
- Everything in Pay as you go
- Lower per-hour rate at volume
- Higher rate limits & priority
- Usage analytics & alerts
Enterprise
Custom
- Dedicated GPU fleet
- VPC / on-prem deployment
- Data residency (US / EU / BR)
- SLA & support
FAQ
Questions, answered.
Ship audio intelligence today.
Get an API key in seconds. Free credits to start. Change one line and you are live.
Get your API key →