HomeNotion Adopts MiniMax M2.5 for Cost-Effective AI Office Features
On March 2, 2026, Akshay Kothari, the co-founder of the globally popular all-in-one workspace Notion, announced that its AI automation tool, Notion Custom Agents, has officially integrated the domestic open-source weight model MiniMax M2.5. The feature is now in experimental release for Notion's worldwide user base of over 100 million.
This integration establishes MiniMax M2.5 within Notion's core model library, positioning it alongside leading closed-source international models like Claude Sonnet 4.6, Opus 4.6, Haiku 4.5, GPT-5.2, and GPT-5.3 Codex as a key option on the platform.
As the sole "open-source weight model" in this lineup, MiniMax M2.5 offers Notion a more cost-efficient computational solution for document management, note-taking, and project workflows. Kothari highlighted that for simpler tasks, this model operates at a significantly lower cost than traditional closed-source large language models. Notion's decision signals an evolution in productivity tool AI strategy, moving from exclusive reliance on top-tier closed-source models toward a hybrid architecture that balances "high-performance closed-source" with "cost-effective open-source" options.
This shift not only helps lower the barrier to AI adoption for business users but also demonstrates the strengthening role of domestic models within major international ecosystems. As competition in the global productivity software market increases, enhancing task efficiency and optimizing operational costs through diversified model strategies has become an essential direction for the industry.
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On March 2, 2026, Akshay Kothari, the co-founder of the globally popular all-in-one workspace Notion, announced that its AI automation tool, Notion Custom Agents, has officially integrated the domestic open-source weight model MiniMax M2.5. The feature is now in experimental release for Notion's worldwide user base of over 100 million.
This integration establishes MiniMax M2.5 within Notion's core model library, positioning it alongside leading closed-source international models like Claude Sonnet 4.6, Opus 4.6, Haiku 4.5, GPT-5.2, and GPT-5.3 Codex as a key option on the platform.
As the sole "open-source weight model" in this lineup, MiniMax M2.5 offers Notion a more cost-efficient computational solution for document management, note-taking, and project workflows. Kothari highlighted that for simpler tasks, this model operates at a significantly lower cost than traditional closed-source large language models. Notion's decision signals an evolution in productivity tool AI strategy, moving from exclusive reliance on top-tier closed-source models toward a hybrid architecture that balances "high-performance closed-source" with "cost-effective open-source" options.
This shift not only helps lower the barrier to AI adoption for business users but also demonstrates the strengthening role of domestic models within major international ecosystems. As competition in the global productivity software market increases, enhancing task efficiency and optimizing operational costs through diversified model strategies has become an essential direction for the industry.
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