# MAI-Transcribe-2 launch evaluation: Voice Benchmark Profile

> Microsoft AI’s September 3, 2026 launch post reports FLEURS word error rate across 60 languages, an independent leaderboard position, and relative speed against competing transcription models.

- Scope: FLEURS average WER over 60 languages, independent WER leaderboard rank, and throughput comparisons versus GPT-Transcribe, Scribe v2, and Gemini 3.5 Transcribe
- Measurement lanes: Voice experience, Latency
- Primary metric: Word error rate (lower is better)
- Available evidence: Exact figures published in the official launch post
- Owner: Microsoft AI
- Source snapshots refreshed: 2026-09-11

## Interpretation limit

These are provider-reported launch results; the post gives competitor rankings and speed ratios without their exact WER values.

## Primary sources

- [Owner page](https://microsoft.ai/news/mai-transcribe-2-is-the-fastest-most-accurate-and-cheapest-speech-recognition-model-in-the-world/)

Canonical page: https://benchlm.ai/voice-benchmarks/mai-transcribe-2-launch-evaluation