x-ai
SpaceXAI: Grok STT 1.0
x-ai/grok-stt-1.0
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, Grok STT 1.0 is SpaceXAI's speech-to-text model, reachable through a REST /v1/stt endpoint. The catalog reports transcription output with word-level timestamps, optional speaker diarization, and multichannel audio input. No benchmark results are listed, and an independent model card was not available in this source pack, so accuracy and language coverage remain unverified. The entry also carries an expiration date of 2026-11-15, which may indicate limited catalog availability.[1]
Strengths
Limitations
- Evidence comes solely from OpenRouter's catalog; no independent model card or measured accuracy data was available in this source pack, so real-world performance needs workload validation.[1]
- The catalog lists an expiration date of 2026-11-15, which may signal time-limited availability.[1]
- Supported languages, maximum audio duration, and transcription quality are undocumented in the supplied source.[1]
Where to use it
- May suit subtitling or captioning pipelines that benefit from word-level timestamps; validate accuracy on your own audio first.[1]
- Could fit meeting or interview transcription where speaker attribution helps; diarization is catalog-reported, not measured.[1]
- Potentially applicable to multichannel recordings such as contact-center audio; test against your workloads before adopting.[1]
Sources
- [1] OpenRouter catalog · SpaceXAI: Grok STT 1.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Grok STT is SpaceXAI's speech-to-text model, available via the REST /v1/stt endpoint. It supports transcription with word-level timestamps, optional speaker diarization, and multichannel audio.
Specifications
- Model ID
- x-ai/grok-stt-1.0
- Canonical ID
- x-ai/grok-stt-20260723
- Creator
- x-ai
- Added to OpenRouter
- 23.07.2026
- Context length
- 0
- Modality
- audio->transcription
- Input modalities
- audio
- Output modalities
- transcription
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- 15.11.2026
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| xAI | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.