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Model Foundation: GPT-4o, o3-mini & Microsoft MAI

🌐 The Microsoft Copilot Ecosystem & Architecture⏱ 15 min⭐ 150 BASE XP⌨ HANDS-ON LAB

Foundation Models Powering Copilot

Microsoft Copilot utilizes specialized foundation models depending on user task requirements:

ModelRole in CopilotKey StrengthLatency Profile
GPT-4oDefault multimodal agent workhorseHigh vision fidelity, code generation, low latencyFast (sub-second streaming)
OpenAI o3-miniDeep logic & financial modeling in ExcelReasoning tokens, multi-step problem decompositionMedium (thinking phase: 2-8s)
Microsoft Phi-4On-device & edge Copilot operations14B parameters, sovereign offline executionUltra-fast local compute
Microsoft MAI LabsNext-gen enterprise autonomous agentsProprietary agentic memory and tool arbitrationResearch preview
⌨ HANDS-ON LABBenchmark Azure OpenAI Reasoning Models for Copilot
⭐ +150 XP

Call the Azure OpenAI endpoint backing Copilot Studio to test o3-mini reasoning tokens on complex algorithmic logic.

1Send a completion request to the o3-mini deployment with reasoning_effort set to high.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 1
Which model is optimized for complex algorithmic problem-solving and multi-step reasoning in Microsoft Copilot?
GPT-3.5-Turbo
OpenAI o3-mini with reasoning tokens
Text-Davinci-003
Whisper Small