MAI-Thinking-1

Released
2026-06-02
Last refreshed
2026-08-24
Status
Researched 52d ago
ProprietaryCommercial use: conditionalCodingRAGAgentsLong contextClassificationJSON / Tool useHighlight
Microsoft AI releases · 17 in the last 12 monthsChangelog →
Specifications
Family
MAI
Released
2026-06-02
Context
256K
Max output
64K
Parameters
1T total / 35B active
Architecture
Mixture of Experts
Specialization
reasoning
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Applied AI products and platforms from Microsoft

Redmond, Washington, United States
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Microsoft Foundry

About

MAI-Thinking-1 is Microsoft AI's flagship reasoning model, built from scratch on enterprise-grade commercially licensed data without third-party distillation. The sparse mixture-of-experts model activates about 35B parameters from roughly 1T total parameters, supports a 256K-token context window, and targets frontier reasoning and software engineering work at a mid-weight price point. Microsoft reports 97% on AIME 2025, 94.5% on AIME 2026, 84.2% on GPQA Diamond, 87.7% on LiveCodeBench v6, 73.5% on SWE-bench Verified, and 52.8% on SWE-bench Pro. In a 1,276-task Surge blind side-by-side evaluation, it narrowly beat Claude Sonnet 4.6 but trailed Claude Opus 4.6.

Capabilities

ReasoningJSON / Tool use

Benchmark peer barsfor Coding

Benchmark scores(10)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
AIME 202597.0AIME 2025Observed 2026-06-02—Source
AIME 202694.5AIME 2026Observed 2026-06-02—Source
HMMT February 202684.9HMMT Feb 2026Observed 2026-06-02—Source
Google-Proof Q&A84.2GPQA DiamondObserved 2026-06-02—Source
LiveCodeBench87.7v6Observed 2026-06-02—Source
Terminal-Bench 2.046.0Terminal-Bench 2.0Observed 2026-06-02—Source
SWE-bench Verified73.5SWE-bench VerifiedObserved 2026-06-02—Source
SWE-bench Pro52.8Public datasetObserved 2026-06-02—Source
MMLU PRO85.0MMLU-Pro (accuracy)Observed 2026-06-07—Source
MultiChallenge53.0Multi-Challenge leaderboard rank 15 of 28 (accuracy%)Observed 2026-06-07—Source

Migration checks

No linked migration route is available for this model yet.