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Microsoft · Official-source model record

MAI-Thinking-1

MAI · Version MAI-Thinking-1

PreviewChecked Oct 23, 2026
Editorial (0) ↓Download model brief (.md)

Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about MAI-Thinking-1

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

How can you access MAI-Thinking-1?

The catalog documents API access for MAI-Thinking-1. Source

As of the catalog check, this version was listed as a preview. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

Which MAI-Thinking-1 does this page describe?

MAI-Thinking-1 is a model record from Microsoft in the MAI family. Source

The recorded model identifier or checkpoint is MAI-Thinking-1. Use that exact identifier when checking documentation or a provider listing. Source

How much does MAI-Thinking-1 cost?

The recorded token rates for MAI-Thinking-1 are:

  • Input: US$2 per 1 million input tokens. Source
  • Output: US$8 per 1 million output tokens. Source

Rate conditions: Microsoft Foundry public-preview list pricing: USD per million input/output tokens. The card quotes $2 input and $8 output; separate preview and deployment terms apply. Source

Illustrative arithmetic: 10,000 input tokens plus 2,000 output tokens would cost US$0.036 at those recorded rates. This assumes every token is billed at the displayed rate and excludes any cache, batch, tool, storage or tier adjustments; it is not a quote or measured usage.

Check the source's pricing conditions before budgeting. A token rate does not state the price of an app subscription or the full cost of running downloaded weights.

What are MAI-Thinking-1's context and output limits?

The publisher reports the context window as 256K tokens. Source We retain the publisher's notation and qualifiers; no exact token count or hosted serving allowance is inferred from it.

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What dates are documented for MAI-Thinking-1?

Training-data cutoff: July 2026. Source This describes the reported data boundary, not the day training finished. The source labels this “Publisher training cut-off date.”

Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools.

What can MAI-Thinking-1 receive and generate?

Documented inputs: text. Source

Documented outputs: text. Source

Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.

What distinguishes MAI-Thinking-1?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Architecture
Microsoft describes a mixture-of-experts model with about one trillion total parameters and 35 billion active parameters. These are publisher-reported counts, not measured inference memory. Source
Access status
The official model page offers MAI-Thinking-1 in public preview through Microsoft Foundry. Source
Integration responsibility
Microsoft describes Chat Completions integration, but says the model has no native tool interface: the integrating application mediates tools and is responsible for their security boundary. Text-only input/output does not imply image, audio or video support. Source

Keep the exact version in view

Other MAI models from Microsoft.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

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Open weights

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
MicrosoftSource ↗
Family
MAISource ↗
Version
MAI-Thinking-1Source ↗
Availability
PreviewSource ↗
Access
APISource ↗
Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
256K tokensSource ↗
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Not documented
Training-data cutoff
Jul 2026Publisher training cut-off date · month precisionSource ↗
Training completed
Not documented
Release date
Not documented
License
Not documented
Input price / 1M tokens
$2Source ↗
Output price / 1M tokens
$8Source ↗

Read this with the numbers.

Microsoft Foundry public preview. Exact token limits require its model card.

Microsoft Foundry public-preview list pricing: USD per million input/output tokens. The card quotes $2 input and $8 output; separate preview and deployment terms apply.

Model identifiers and aliases 0

No additional identifier has been verified.

Follow the evidence

Official sources.

  1. — official Microsoft documentation ↗microsoft.ai
  2. MAI Thinking 1 — official Microsoft documentation ↗ai.azure.com

From the Headless Thrones newsroom

Editorial about MAI-Thinking-1

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

MAI-Thinking-1

Microsoft · API

Inputs
TextSource ↗
Outputs
TextSource ↗
Context window
256K tokensSource ↗
Knowledge cutoff
Not documented

A place to begin comparing

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A record you can follow

The source belongs beside the fact.

Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated . Source links are provided on each model record.

View the full coverage report and discovery sources ↗