Data as of October 25, 2026 · How the score is built
Released Jul 27, 2026256K contextMicrosoft AI MAI-Cyber-1-Flash announcement
MAI-Cyber-1-Flash
Decision readingMAI-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.
Released Jul 27, 2026 — see all recent releases
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.
Flash
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
- Not publishedMicrosoft AI MAI-Cyber-1-Flash announcement
- Context window
- 256KMicrosoft AI MAI-Cyber-1-Flash announcement
- 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
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.
Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.
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. 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.