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MAI-Cyber-1-Flash

Released Jul 27, 2026 see all recent releases

Decision reading
MAI-Cyber-1-Flash is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 10, 2026 · How the score is built

Spec sheet

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

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
A 137B-total, 5B-active security specialist derived from the MAI-Code and MAI-Thinking-1 lineage, announced July 27, 2026 and scheduled for public preview on August 3, 2026 inside MDASH, Microsoft’s multi-agent vulnerability discovery and remediation harness. Access is gated; there is no standalone endpoint or published token price.
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 AI MAI-Cyber-1-Flash announcement
Self-host
Weights are not published
Rate limits
Not tracked yet

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Jul 27, 2026 · you are here

    MAI-Cyber-1-Flash

    Not publicly ranked · Price not listed

Flash

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-Cyber-1-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-Cyber-1-Flash is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

A 137B-total, 5B-active security specialist derived from the MAI-Code and MAI-Thinking-1 lineage, announced July 27, 2026 and scheduled for public preview on August 3, 2026 inside MDASH, Microsoft’s multi-agent vulnerability discovery and remediation harness. Access is gated; there is no standalone endpoint or published token price.

Microsoft reports that MDASH running MAI-Cyber-1-Flash with GPT-5.4 as the escalation model scores 95.95% any-crash on CyberGym Level 1 (90.4% target any-of, 86.3% final-submission) at half the cost of the previous GPT-5.4 configuration. Those are harness-level results for a two-model system, and the standalone rows Microsoft lists (CVEBench, CyberSecEval4, CRSBench, ExploitGym) have no exact lane, so BenchLM stores no scored benchmarks and the row stays unranked.

The profile has no source-displayable benchmark row yet.

Radar

MAI-Cyber-1-Flash release history

Full release history

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Frequently asked questions

How does MAI-Cyber-1-Flash perform overall in AI benchmarks?

MAI-Cyber-1-Flash does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Does MAI-Cyber-1-Flash have full benchmark coverage on BenchLM?

No. MAI-Cyber-1-Flash currently has 0 source-displayable rows across 434 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of MAI-Cyber-1-Flash?

MAI-Cyber-1-Flash has a documented context window of 256K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare MAI-Cyber-1-Flash with every tracked model482 comparisons

Last updated September 10, 2026. Runtime fields remain blank until a sourced snapshot exists.

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