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Data

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

CurrentProprietaryNon-Reasoning

Released Jul 23, 2026N/A contextMicrosoft model documentation

MAI-Voice-2-Flash

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

Released Jul 23, 2026 — see all recent releases

Voice benchmark evidence

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

Speed vs MAI-Voice-2
2x faster
Price
$15 per 1M characters
GPU cost reduction
Up to 89%
Provider API ID
MAI-Voice-2-Flash
Provider snapshot · Microsoft AI · 2026-07-23

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. Jul 23, 2026 · you are here

    MAI-Voice-2-Flash

    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-Voice-2-FlashMicrosoft 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 public preview since July 23, 2026 in the Azure AI Foundry catalog and Azure Voice Live, and deployed in Dynamics 365 Contact Center.
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-Voice-2-Flash, 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-Voice-2-Flash is a proprietary model with a N/A context window. No explicit reasoning mode is documented in this profile.

In public preview since July 23, 2026 in the Azure AI Foundry catalog and Azure Voice Live, and deployed in Dynamics 365 Contact Center.

MAI-Voice-2-Flash is a display-only fast text-to-speech model. Voice 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-Voice-2-Flash perform overall in AI benchmarks?

MAI-Voice-2-Flash has published speech or voice results in MAI-Voice-2-Flash launch notes. 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-Voice-2-Flash have full benchmark coverage on BenchLM?

No. MAI-Voice-2-Flash's speech or voice results appear in MAI-Voice-2-Flash launch notes, 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-Voice-2-Flash?

MAI-Voice-2-Flash 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.

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