Microsoft model releases

Microsoft's first in-house frontier reasoning model, unveiled at Build 2026. A sparse MoE (~35B active, 256K context) trained entirely on commercially licensed data without third-party distillation. Microsoft reports 97.0% on AIME 2025 and coding parity with Claude Opus 4.6 on SWE-bench Pro.

An inference-efficient agentic coding model from Microsoft (~5B active parameters), trained from the ground up on clean, traceable, enterprise-grade data without third-party distillation. Rolling out in GitHub Copilot; Microsoft reports a +16-point SWE-bench Pro lead over Claude Haiku 4.5.

Phi-4 reasoning-specialized model family for math, science, and chain-of-thought style tasks.

A 14B dense model that rivals far larger ones on math and reasoning, under a permissive MIT license.

Phi-3.5 mixture-of-experts model, scaling Microsoft's small-model line while preserving efficient active parameters.

3.8B-parameter Phi-3 model released as a phone-capable small model with 4K and 128K variants.

Microsoft's WizardLM-2 MoE chat model, widely mirrored and run locally after its model-card release.

2.7B-parameter Phi model showing strong reasoning and language understanding at small scale.

Microsoft's first Phi small-language-model release, demonstrating strong code performance from textbook-quality synthetic data.