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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:
| Model | Role in Copilot | Key Strength | Latency Profile |
|---|---|---|---|
| GPT-4o | Default multimodal agent workhorse | High vision fidelity, code generation, low latency | Fast (sub-second streaming) |
| OpenAI o3-mini | Deep logic & financial modeling in Excel | Reasoning tokens, multi-step problem decomposition | Medium (thinking phase: 2-8s) |
| Microsoft Phi-4 | On-device & edge Copilot operations | 14B parameters, sovereign offline execution | Ultra-fast local compute |
| Microsoft MAI Labs | Next-gen enterprise autonomous agents | Proprietary agentic memory and tool arbitration | Research preview |
⌨ HANDS-ON LABBenchmark Azure OpenAI Reasoning Models for Copilot
⭐ +150 XPCall 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.
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