Source: https://ailoot.ai/models/en/x-ai-grok-stt-1-0/ Canonical: https://ailoot.ai/models/en/x-ai-grok-stt-1-0/ Language: en # SpaceXAI: Grok STT 1.0 [Markdown](https://ailoot.ai/models/en/x-ai-grok-stt-1-0/index.md) · [JSON](https://ailoot.ai/models/en/x-ai-grok-stt-1-0/facts.json) ## [SpaceXAI: Grok STT 1.0](https://ailoot.ai/models/en/x-ai-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. - [**Ailoot Ultra · Transcription** `POST /v1/audio/transcriptions` `x-ai/grok-stt-1.0`](https://ailoot.ai/models/en/x-ai-grok-stt-1-0/#method-0) 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`](https://ailoot.ai/models/en/#m=x-ai%2Fgrok-stt-1.0&route=Ultra&caller=x-ai%2Fgrok-stt-1.0&fmt=transcriptions) 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` | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits x-ai/grok-stt-1.0 | Default— | | Field`input_audio` | Type`object` | RequirementRequired | Values & limits | Default— | | Field`language` | Type`string` | RequirementOptional | Values & limits | Default— | | Field`temperature` | Type`number` | RequirementOptional | Values & limits Minimum: 0 Maximum: 1 | Default— | | Field`response_format` | Type`string` | RequirementOptional | Values & limits json, verbose\_json | Defaultjson | | Field`timestamp_granularities` | Type`array` | RequirementOptional | Values & limits | Default— | | Field`provider` | Type`object` | RequirementOptional | Values & limits | Default— | Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, input\_audio | | Parameter`material_types` | Contractaudio | | Parameter`material_conditions` | ContractRead 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. | Configuration | Rate schedule | Forecast quantity | Billing unit | Charge | | --- | --- | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Forecast 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 second | Rate schedule— | Forecast quantity— | Billing unitper input audio second | Charge Input · input audio second · Estimate for comparison only **$0.0000555555555556** per input audio second | | ConfigurationEstimated generation cost | Rate schedule— | Forecast quantityone generation estimate | Billing unit— | Charge Output · Estimated generation cost · Estimate for comparison only **$0.0000555555555556** estimate before generation This estimate is not an additional charge or a fixed rate for the completed generation. | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Transcription curl · exact native body and complete result ```bash set -eu : "${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 $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o response.bin # Keep the complete original response and headers. Read every returned segment, word and usage field. # Preserve actual operation/task/asset IDs; continue reads of the original result without resubmitting. ``` ### Receive and save results #### Ailoot Ultra · Transcription - `GET /v1/media/tasks/{task_id}` - `GET /v1/media/assets/{asset_id}/content` - `GET /v1/media/assets` - `GET /v1/media/assets/{asset_id}` Other content reads Read existing owned assets ```bash set -eu : "${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 | Field | Type | | --- | --- | | Field`text` | Type | | Field`usage` | Type | | Field`segments[]` | Type | | Field`words[]` | Type | | Field`speaker fields` | Type | | Field`timestamps` | Type | ### Aliases #### Model aliases **Ailoot Ultra** [`x-ai/grok-stt-1.0`](https://ailoot.ai/models/en/#m=x-ai%2Fgrok-stt-1.0&route=Ultra&caller=x-ai%2Fgrok-stt-1.0&fmt=transcriptions) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`x-ai/grok-stt-1.0`](https://ailoot.ai/models/en/#m=x-ai%2Fgrok-stt-1.0&route=Ultra&caller=x-ai%2Fgrok-stt-1.0&fmt=transcriptions) 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` Connect Ailoot to Claude Code, OpenCode, Hermes or your own app. ## The company and its project portfolio The company and its project portfolio: millions of customers; monthly sales in the billions. ## Buy tokens at a discount. 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