Skip to main content
BenchLM
Data

Data as of October 25, 2026 · How the score is built

CurrentProprietaryNon-Reasoning

Released Sep 3, 2026N/A contextMicrosoft model documentation

MAI-Transcribe-2

Decision readingMAI-Transcribe-2 is tracked, but not publicly ranked yet. Published speech or voice results from MAI-Transcribe-2 launch evaluation appear below. They do not produce a weighted text-model score.

Released Sep 3, 2026 — see all recent releases

Voice benchmark evidence

MAI-Transcribe-2 launch evaluation is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.

FLEURS average WER (60 languages)
5.2%
Independent WER leaderboard rank
#2
Speed vs GPT-Transcribe
10x faster
Price
$0.10 per hour
Provider API ID
MAI-Transcribe-2
Provider snapshot · Microsoft AI · 2026-09-03

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 3, 2026 · you are here

    MAI-Transcribe-2

    Not publicly ranked · Price not listed

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
MAI-Transcribe-2Microsoft model documentation
Context window
N/A
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
In preview in Microsoft Foundry since September 3, 2026 (version 2026-09-03) with 60 languages, automatic language detection, speaker diarization, word-level timestamps, keyword biasing, and verbatim or clean transcription styles.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordMicrosoft model documentation
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track MAI-Transcribe-2, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

MAI-Transcribe-2 is a proprietary model with a N/A context window. No explicit reasoning mode is documented in this profile.

In preview in Microsoft Foundry since September 3, 2026 (version 2026-09-03) with 60 languages, automatic language detection, speaker diarization, word-level timestamps, keyword biasing, and verbatim or clean transcription styles.

MAI-Transcribe-2 is a display-only speech recognition model. Transcription results remain separate from BenchLM’s weighted text-model ranking.

Speech or voice evidence appears above; text-model benchmark coverage remains empty.

Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does MAI-Transcribe-2 perform overall in AI benchmarks?

MAI-Transcribe-2 has published speech or voice results in MAI-Transcribe-2 launch evaluation. Those results remain separate from the weighted text-model ranking, so this profile does not assign a BenchLM score or overall rank. Use the linked evaluation's metric and run conditions to compare speech systems.

Does MAI-Transcribe-2 have full benchmark coverage on BenchLM?

No. MAI-Transcribe-2's speech or voice results appear in MAI-Transcribe-2 launch evaluation, but it has no published text-model benchmark rows. The voice evaluation does not fill the text-model coverage slots or produce an overall rank. Missing text coverage is not treated as a zero score.

What is the context window size of MAI-Transcribe-2?

MAI-Transcribe-2 has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Watch MAI-Transcribe-2 in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 6,100+ subscribers.

Compare MAI-Transcribe-2 with every tracked model991 comparisons