--- title: "MAI-Transcribe 2 AI model: facts and benchmarks | Kendr" canonical: "https://kendr.org/models/microsoft-mai-transcribe-2" date_modified: "2026-09-06" profile_kind: "reference" --- # MAI-Transcribe 2 model profile MAI-Transcribe 2 is a Microsoft model profile with a no verified token context limit in this snapshot. The dated catalog snapshot records audio, transcription modalities and interfaces for audio input, speech transcription. MAI-Transcribe 2 is a multilingual speech-to-text model from Microsoft AI, ranked #1 on the FLEURS multilingual benchmark. It supports 60 languages with automatic language identification, code switching for mixed-language speech,... MAI-Transcribe 2 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. MAI-Transcribe 2 is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt. MAI-Transcribe 2 accepts audio and returns transcription. The snapshot records audio input and speech transcription as capabilities or interfaces. The dated unit-price records list $0.1 per minute for audio_input. Each figure retains its billable dimension, variant, provider, source, and evidence date. No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. Profile data was reviewed for the 2026-09-06 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated. ## Profile facts - **Profile type:** Model research profile - **Provider or publisher:** Microsoft - **Context window:** No verified limit - **Snapshot date:** 2026-09-06 - **Knowledge cutoff:** Not disclosed - **Reference catalog ID:** microsoft/mai-transcribe-2 ## When to pick MAI-Transcribe 2 MAI-Transcribe 2 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field. - Reach for it when the input is speech. The snapshot records audio input, so recordings can go to this route rather than being transcribed first. - Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. - Look elsewhere when you are building an agent. No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions. ## Context, modalities, and identity MAI-Transcribe 2 accepts audio and returns transcription. The snapshot records audio input and speech transcription as capabilities or interfaces. - **Provider or publisher:** Microsoft - **Context window:** No verified limit - **Maximum output:** No verified numeric limit - **Input modalities:** audio - **Output modalities:** transcription - **Knowledge cutoff:** Not disclosed ## Model overview MAI-Transcribe 2 is a multilingual speech-to-text model from Microsoft AI, ranked #1 on the FLEURS multilingual benchmark. It supports 60 languages with automatic language identification, code switching for mixed-language speech,... - **Reference model ID:** microsoft/mai-transcribe-2 - **Canonical version:** microsoft/mai-transcribe-2-20260903 - **Hugging Face ID:** Not separately documented ## Capabilities and supported controls Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route. - **Supported parameters:** max_completion_tokens, max_tokens, temperature, top_p - audio input - speech transcription ## Dated pricing snapshot The dated unit-price records list $0.1 per minute for audio_input. Each figure retains its billable dimension, variant, provider, source, and evidence date. These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price. - **Price date:** 2026-09-06 - **Input:** No verified rate - **Cached input:** No verified rate - **Output:** No verified rate | Billable | Variant | Cost | Unit | Provider | As of | | --- | --- | --- | --- | --- | --- | | audio_input | Default | $0.1 | per minute | Not specified | 2026-09-06 | ## Provider routes, performance, and uptime The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees. - **Active provider endpoints:** 1 - **Best p50 latency:** No recent metric - **Best p50 throughput:** No recent metric - **Availability with routing:** No recent metric - **Availability without routing:** No recent metric - **Performance date:** 2026-09-06 | Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Azure | unknown | $100,000 / 1M | $0 / 1M | No verified rate | 0 tokens | No recent p50 | No recent p50 | 100.00% | ## Benchmark evidence and limitations No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ## Popularity and market context No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. - **Third-party catalog rank:** No verified rank - **Global market share:** Not inferred - **Observation date:** 2026-09-06 ## Frequently asked questions ### When should I use MAI-Transcribe 2? MAI-Transcribe 2 is a reference profile: Microsoft publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when the input is speech: The snapshot records audio input, so recordings can go to this route rather than being transcribed first. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr. Look elsewhere when you are building an agent: No tool-calling capability is recorded for this model in the snapshot. Agent loops need a route that can call functions. ### What is MAI-Transcribe 2? MAI-Transcribe 2 is a Microsoft model profile with a no verified token context limit in this snapshot. The dated catalog snapshot records audio, transcription modalities and interfaces for audio input, speech transcription. ### Does MAI-Transcribe 2 have a verified token context window? No comparable token context window is present in this dated profile. The page reports audio inputs, transcription outputs, and source-backed modality limits instead of inventing a token limit. ### What benchmark evidence is available for MAI-Transcribe 2? No comparable third-party benchmark value is present in the 2026-09-06 snapshot. Missing values are not estimated. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source. ### Is MAI-Transcribe 2 available through Kendr? This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases. ### Does the popularity rank represent MAI-Transcribe 2's global market share? No comparable popularity rank or traffic share is present in the 2026-09-06 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. No global market-share percentage is inferred when the source does not publish one. ## Sources and evidence dates - [MAI-Transcribe 2 third-party catalog record](https://openrouter.ai/microsoft/mai-transcribe-2) — catalog, checked 2026-09-06 - [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-09-06 - [Microsoft official model documentation](https://learn.microsoft.com/azure/ai-foundry/models/) — primary, checked 2026-09-06 - [MAI-Transcribe 2 third-party catalog record](https://openrouter.ai/microsoft/mai-transcribe-2) — catalog, checked 2026-09-06 Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.