Microsoft’s MAI-Thinking-1, its first dedicated reasoning model, was announced at Build 2026 on June 2 and reached public preview on Microsoft Foundry by August 12. The 35B-active-parameter sparse MoE model, trained from scratch without third-party distillation, targets enterprise tasks with strong math and coding performance (97% on AIME 2025, ~53% on SWE-Bench Pro) while emphasizing lower inference costs than comparable frontier models. Traders are watching for any explicitly labeled successor in the MAI family, as Microsoft continues expanding its in-house stack to reduce OpenAI dependence and compete with Claude and Gemini on reasoning benchmarks. Key near-term catalysts include broader Foundry integrations, developer fine-tuning access, or new benchmark results that could accelerate a follow-on release before year-end.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedSeptember 30
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December 31
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$489 Vol.
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A “successor to MAI-Thinking-1” refers to any model explicitly designated by Microsoft as part of its MAI (Microsoft AI) model family and as a thinking or reasoning model, or presented as Microsoft’s next general-purpose reasoning model or widely regarded as the successor to MAI-Thinking-1.
Task-specialized models, cost-efficiency variants, or similar releases will not count unless they are explicitly designated as thinking or reasoning models or widely regarded as successors to MAI-Thinking-1.
Products outside of the MAI family or not designated as thinking or reasoning models will NOT qualify.
For this market to resolve to "Yes," a qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice.
The release must be either clearly defined and publicly announced by Microsoft as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Microsoft (e.g., https://microsoft.ai/models), with additional verification from a consensus of credible reporting.
Market Opened: Jul 11, 2026, 2:45 PM ET
Resolver
0x65070BE91...A “successor to MAI-Thinking-1” refers to any model explicitly designated by Microsoft as part of its MAI (Microsoft AI) model family and as a thinking or reasoning model, or presented as Microsoft’s next general-purpose reasoning model or widely regarded as the successor to MAI-Thinking-1.
Task-specialized models, cost-efficiency variants, or similar releases will not count unless they are explicitly designated as thinking or reasoning models or widely regarded as successors to MAI-Thinking-1.
Products outside of the MAI family or not designated as thinking or reasoning models will NOT qualify.
For this market to resolve to "Yes," a qualifying model must be launched and publicly accessible, including via open beta or open rolling waitlist signups. A closed beta or any form of private access will not suffice.
The release must be either clearly defined and publicly announced by Microsoft as being accessible to the general public or otherwise made publicly accessible and explicitly labeled within the company’s official website. Labeling errors, placeholder text, or version names displayed on the website that do not correspond to a model that is actually accessible to the general public will not qualify.
The primary resolution source for this market will be official information from Microsoft (e.g., https://microsoft.ai/models), with additional verification from a consensus of credible reporting.
Resolver
0x65070BE91...Microsoft’s MAI-Thinking-1, its first dedicated reasoning model, was announced at Build 2026 on June 2 and reached public preview on Microsoft Foundry by August 12. The 35B-active-parameter sparse MoE model, trained from scratch without third-party distillation, targets enterprise tasks with strong math and coding performance (97% on AIME 2025, ~53% on SWE-Bench Pro) while emphasizing lower inference costs than comparable frontier models. Traders are watching for any explicitly labeled successor in the MAI family, as Microsoft continues expanding its in-house stack to reduce OpenAI dependence and compete with Claude and Gemini on reasoning benchmarks. Key near-term catalysts include broader Foundry integrations, developer fine-tuning access, or new benchmark results that could accelerate a follow-on release before year-end.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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