Gladia Solaria-1 — EU-hosted real-time streaming speech-to-text across 100+ languages with native code-switching and ~103ms partial latency. Word-level timestamps and automatic language identification; speaker diarization is available for batch (Solaria-3), not this streaming model.
25 languages · benchmarked
Realtime Score
62.0
TTFP (P50)
—
Flicker
0.0%
Cadence
0.0/s
RTF
1.05×
Word Error Rate
25.61%
Character Error Rate
16.45%
Benchmarks Run
35
pay per second
Rate
$0.0125
/min
Per-second billing. Bring your own provider key and pay your provider directly — a 5% routing fee applies (first 100 min/mo free).
Set up BYOKCost estimator
1 hour
$0.75
10 hours
$7.49
100 hours
$74.88
1,000 hours
$748.80
Billed per second of audio processed.
POST /api/v1/transcriptions
Model ID
gladia/solaria-1
Authenticate every request with your secret API key as a Bearer token. Issue a key from your dashboard.
This model also supports realtime streaming over WebSocket.
Quickstart
Upload your audio, create a job with this model, then poll the job or set a webhook_url to be notified when it completes.
Key parameters
file_path
string
required
Storage path returned by the upload step.
model
string
required
The model to run this job on.
language
string
ISO 639-1 language code. Omit to auto-detect.
webhook_url
string
HTTPS URL notified with the result when the job completes. Delivered events are signed (X-OT-Signature).
Response
A completed job returns the transcript in the OpenTranscription Unified Schema (OTUS).
Webhooks — skip polling
We POST a signed event to your webhook_url when a job completes or fails; verify the X-OT-Signature (HMAC-SHA256, reject if older than 300 s) and dedupe on the event id, then fetch the full transcript via GET /api/v1/transcriptions/{id}.
Rate-limited per tier — see the X-RateLimit-* response headers.
Full API referenceSupported Languages
Supported Formats
Features
Gladia Solaria-1 (Realtime) is a speech-to-text model from Gladia. It supports 25 languages and runs at $0.012/min — a premium option.
Its nearest benchmarked alternative is Chirp 3. Best suited for live captioning and streaming transcription.