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GPT-5.6 is now the preferred model in Microsoft 365 Copilot

By Jakub Antkiewicz

2026-07-10T10:52:45Z

GPT-5.6 Becomes New Default in Microsoft 365 Copilot

Microsoft has begun rolling out OpenAI's new GPT-5.6 model as the default inference engine for its Microsoft 365 Copilot, according to our analysis of network traffic and backend service identifiers. The unannounced model upgrade represents a material enhancement for millions of enterprise users who rely on the AI assistant for tasks within Word, Excel, and Teams. This move establishes a new performance baseline for integrated AI productivity tools and underscores the rapid pace of model deployment within closed enterprise ecosystems.

Technical Improvements and Deployment Context

While official documentation has not yet been released, the GPT-5.6 model introduces several key improvements focused on enterprise workflows. The upgrade follows weeks of intermittent API status alerts and developer reports of services waiting for responses from OpenAI's infrastructure, likely indicating the significant backend reconfiguration required for this large-scale deployment. The upgrade appears focused on reliability and sophisticated task execution over raw conversational ability.

  • Enhanced Multi-Step Reasoning: The model shows improved capabilities in executing complex, multi-step instructions, particularly in data analysis and document summarization tasks.
  • Advanced Function Calling: GPT-5.6 has a higher success rate in correctly interpreting user intent to trigger the appropriate software tools and APIs within the 365 environment.
  • Lower Latency: The model is optimized for faster response times, reducing the perceived lag during real-time interactions like text generation in Outlook and Word.

Market Impact and Competitive Pressure

This deployment by Microsoft directly challenges competitors like Google and Anthropic to accelerate the integration of their own flagship models into competing productivity suites. By pushing a next-generation model directly to its paying enterprise customer base before a public-facing launch, Microsoft leverages its distribution advantage to create a stickier ecosystem. The focus now shifts from public benchmark leadership to the tangible performance of AI within the specific applications businesses use daily, putting pressure on rivals to demonstrate similar real-world value.

By embedding a next-generation model directly into its enterprise ecosystem ahead of a public announcement, Microsoft is shifting the competitive narrative from public benchmark battles to demonstrating immediate, scaled value for paying customers.
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