GPAI Ledger › MAI models index (Microsoft) › Capture 19 Aug 2026
MAI models index — capture 20260819T150606Z
| Provider | Microsoft |
|---|---|
| Target | watched page — https://microsoft.ai/models/ |
| Fetched (UTC) | 2026-08-19T15:06:06Z |
| Stored file | 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d.html.txt (229,234 bytes) (served with a .txt suffix so the captured page cannot run scripts on this site; bytes are identical — the SHA-256 verifies against this file) |
| SHA-256 | 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d |
| OpenTimestamps proof | 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d.html.ots (calendar-attested; anchored in bitcoin over time) |
| Wayback | Wayback snapshot, 2026-08-19 15:06 UTC |
| Prior capture of this target | — first capture of this target |
Verify: sha256sum 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d.html.txt must equal the hash above (the filename IS the expected hash); ots verify 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d.html.ots -f 4e17d9a4beb3b8e72fe80ffdc315abd7fc7d6281bb7961af30cc441eed9d763d.html.txt (opentimestamps.org) proves the capture time (fresh proofs report 'pending' until bitcoin-anchored, typically within a day).
Extracted text
Machine-extracted text (layout may be lost; the authoritative content is the stored file above).
Models | Microsoft AI
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MAI-Thinking-1
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MAI-Thinking-1
Built for the complex problems that matter most, with competitive reasoning and top SWE-Bench Pro results at a mid-weight price.
MAI-Code-1.1-Flash
Helps your engineering team write better code faster, with a lightweight, agentic model built into GitHub Copilot and VS Code.
MAI-Image-2.5
Create stunning, design-ready images from any text or photo prompt, with best-in-class Arena ELO scores at a lower price.
MAI-Voice-2
Delivers expressive, low-latency speech that holds up across long generations.
MAI-Transcribe-1.5
Turn noisy audio into precise, domain-specific transcripts, with leading FLEURS and Artificial Analysis accuracy scores.
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MAI-Code-1.1-Flash: Better, faster, at a quarter of the cost
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MAI-Thinking-1
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Built for the complex problems that matter most, with competitive reasoning and top SWE-Bench Pro results at a mid-weight price.
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Foundational model
MAI-Code-1.1-Flash
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Helps your engineering team write better code faster, with a lightweight, agentic model built into GitHub Copilot and VS Code.
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MAI-Image-2.5
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Create stunning, design-ready images from any text or photo prompt, with best-in-class Arena ELO scores at a lower price.
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Foundational model
MAI-Voice-2
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Delivers expressive, low-latency speech that holds up across long generations.
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MAI-Transcribe-1.5
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Turn noisy audio into precise, domain-specific transcripts, with leading FLEURS and Artificial Analysis accuracy scores.
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Microsoft Frontier Tuning
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Your data, your rules. Fine-tune a model to fit your business with full privacy and control.
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MAI-Cyber-1-Flash
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A new cybersecurity model built into MDASH, our multi-agent vulnerability identification and remediation harness.
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