models

SpaceXAI: Grok STT 1.0

Markdown · JSON

SpaceXAI: Grok STT 1.0

Grok STT 1.0 turns audio into a transcript with word-level timestamps. SpaceXAI documents optional speaker diarization and multichannel audio, making the model useful for recordings that need both spoken text and its timing or speaker structure.

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Grok STT 1.0 is SpaceXAI’s speech-to-text model. It takes audio and returns a transcription, with word-level timestamps and optional speaker diarization. The published profile also supports multichannel audio. Its useful output is the spoken content connected to the timing and, where requested, the speakers in a recording.

Prepare the recording and the transcript task

Identify the recording to transcribe and the way the result will be used. A meeting transcript needs the sequence of turns; an interview may need speaker labels; an editing task needs words connected to their positions in the audio. Preserve the source recording and its identifier so a reviewer can return to the original passage when a word or speaker assignment is uncertain.

Use the actual recording rather than a rewritten account of what it contains. For a multichannel source, retain its channel structure when preparing the audio. That structure and speaker diarization describe different parts of the task: channels belong to the recording, while diarization identifies speaker turns in the transcript.

Timing and speaker structure

Word-level timestamps connect transcribed words to the recording. They help locate a quote, review a difficult phrase or prepare a later subtitle or editing step. Keep the timestamps with the words when exporting or transforming the transcript, and check important passages against the audio.

Optional diarization adds speaker structure. Review transitions, interruptions and similar-sounding voices before relying on the assigned labels in a final document. Use stable speaker labels in downstream notes, keeping any later identification of a person distinct from the model’s speaker grouping.

Use the transcription as source material

A transcript can feed a summary, searchable record or caption-preparation workflow. Those later artifacts should retain the relevant transcript span and source timing. For a quote, inspect the exact audio passage; for a meeting note, distinguish what was spoken from conclusions drawn from it. The model produces the transcription, while formatting, summarization and publication follow from that actual result.

Ailoot Ultra · Transcription POST /v1/audio/transcriptions x-ai/grok-stt-1.0

x-ai/grok-stt-1.0

SpaceXAI /x-ai/grok-stt-1.0

Overview

Grok STT 1.0 turns audio into a transcript with word-level timestamps. SpaceXAI documents optional speaker diarization and multichannel audio, making the model useful for recordings that need both spoken text and its timing or speaker structure.

Accepted inputs
Audio
Results
Text

Available in Ailoot · inputs & methods

Ailoot Ultra · Transcription POST /v1/audio/transcriptions
Input types
audio
Output types
text
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
x-ai/grok-stt-1.0
Default—
Fieldinput_audioTypeobjectRequirementRequiredValues & limitsDefault—
FieldlanguageTypestringRequirementOptionalValues & limitsDefault—
FieldtemperatureTypenumberRequirementOptionalValues & limits
Minimum: 0
Maximum: 1
Default—
Fieldresponse_formatTypestringRequirementOptionalValues & limits
json, verbose_json
Defaultjson
Fieldtimestamp_granularitiesTypearrayRequirementOptionalValues & limitsDefault—
FieldproviderTypeobjectRequirementOptionalValues & limitsDefault—
Method parameters and lifecycle
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractmodel, input_audio
Parametermaterial_typesContractaudio
Parametermaterial_conditionsContractRead an actual WAV file and encode its real bytes for the declared JSON input_audio; no multipart route is advertised for this exact JSON-only declaration.

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Pricing

How the final charge is calculated

The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode
Not specified When fast mode is selected
Flex mode
Not specified When flex mode is selected
Maximum reasoning effort
Not specified When maximum reasoning effort uses the default adjustment

Estimated rates for comparison

Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

ConfigurationRate scheduleForecast quantityBilling unitCharge
ConfigurationBase token ratesRate scheduleBase rateForecast quantity—Billing unit—Charge
Input · Input tokens · Estimate for comparison only — / 1K tokens
Output · Output tokens · Estimate for comparison only — / 1K tokens
Input · Cache read · Estimate for comparison only — / 1K tokens
Input · Cache write · Estimate for comparison only — / 1K tokens
Input · Cache write, 1 hour · Estimate for comparison only — / 1K tokens
Configurationinput audio secondRate schedule—Forecast quantity—Billing unitper input audio secondCharge
Input · input audio second · Estimate for comparison only $0.0000555555555556 per input audio second
ConfigurationEstimated generation costRate schedule—Forecast quantityone generation estimateBilling unit—Charge
Output · Estimated generation cost · Estimate for comparison only $0.0000555555555556 estimate before generation

This estimate is not an additional charge or a fixed rate for the completed generation.

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot Ultra · Transcription

curl · exact native body and complete result
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_AUDIO_FILE:?Set the path to your actual WAV recording}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
import base64
audio=Path(os.environ['AILOOT_AUDIO_FILE']).read_bytes()
if not (audio[:4]==b'RIFF' and audio[8:12]==b'WAVE'): raise SystemExit('Supply an actual WAV audio file')
if len(audio)>26214400: raise SystemExit('Use a documented supported large-file flow')
request={'model': 'x-ai/grok-stt-1.0', 'input_audio': {'data': '${BASE64_ACTUAL_WAV_BYTES}', 'format': 'wav'}}
request['input_audio']['data']=base64.b64encode(audio).decode('ascii')
Path('request.json').write_text(json.dumps(request,ensure_ascii=False),encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o response.bin
# Keep the complete original response and headers. Read every returned segment, word and usage field.
# Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting.

Receive and save results

Ailoot Ultra · Transcription

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Other content reads
Read existing owned assets
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \
  -H "Authorization: Bearer $AILOOT_API_KEY" -o owned-assets.json
# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.
Keep all completed results

Keep every complete returned response, file and content part.

Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.

If the original response needs checking

Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation.

Response fields
FieldType
FieldtextType
FieldusageType
Fieldsegments[]Type
Fieldwords[]Type
Fieldspeaker fieldsType
FieldtimestampsType

Aliases

Model aliases

Ailoot Ultra x-ai/grok-stt-1.0

Method path aliases

Use the method paths shown above.

Related caller IDs

x-ai/grok-stt-1.0

FAQ · SpaceXAI: Grok STT 1.0
What inputs and results are available?

POST /v1/audio/transcriptions · x-ai/grok-stt-1.0: audio → text

Which fields does the request use?

POST /v1/audio/transcriptions · x-ai/grok-stt-1.0: model, input_audio, language, temperature, response_format, timestamp_granularities, provider

What limits apply?

POST /v1/audio/transcriptions · x-ai/grok-stt-1.0: temperature.minimum: 0; temperature.maximum: 1

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