microsoft
Microsoft AI: MAI-Transcribe 1.5
microsoft/mai-transcribe-1.5
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog identifies microsoft/mai-transcribe-1.5 as a Microsoft AI multilingual speech-to-text model that accepts audio and returns transcriptions. The catalog description says it is intended for captions, call transcription, subtitling, accessibility, and voice-enabled applications, with reported coverage across 43 languages. These are catalog-reported characteristics rather than independently measured results. An independent model card was not available in this source pack, so suitability and accuracy should be validated on the intended workload.[1]
Strengths
Limitations
- Evidence is limited to the OpenRouter catalog; an independent model card was not available in this source pack.[1]
- No measured accuracy, latency, benchmark results, language-level performance, diarization behavior, or deployment requirements are provided.[1]
- The catalog lists an expiration date of 2026-12-22, so continued availability may need confirmation.[1]
Where to use it
- Evaluate for captions and subtitling where multilingual speech-to-text is required.[1]
- Pilot for call transcription or accessibility features, with workload-specific accuracy checks before production use.[1]
- Consider for other voice-enabled applications whose interfaces match the cataloged audio-to-transcription modality.[1]
Sources
- [1] OpenRouter catalog · Microsoft AI: MAI-Transcribe 1.5Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
MAI-Transcribe 1.5 is a multilingual speech-to-text model from Microsoft AI. It is suited for captions, call transcription, subtitling, accessibility, and other voice-enabled applications, with reliable transcription across 43 languages, diverse...
Specifications
- Model ID
- microsoft/mai-transcribe-1.5
- Creator
- microsoft
- Added to OpenRouter
- 02.06.2026
- 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
- 22.12.2026
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) |
|---|---|---|---|---|---|---|
| Azure | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.