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Perplexity’s AI platform uses Opus 4.6 and ChatGPT 5.2. Automates task breakdown across AI agents, shaving hours from dev sprint cycles

Perplexity’s AI platform uses Opus 4.6 and ChatGPT 5.2

Perplexity Computer’s autonomous AI platform lets users input a single objective, then fragments it into sub‑tasks handled by agents such as Opus 4.6 for reasoning, Gemini for spawning sub‑agents, ChatGPT 5.2 for context, Grok for quick queries and Veo 3.1 for media creation. Forrester estimates nine saved hours per month per user.

26 February 2026

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Perplexity has launched Perplexity Computer, an autonomous multi-agent AI platform that automates complex projects by coordinating more than a dozen specialized neural networks, now available to Max subscribers for $200 per month.

Driving the news: The platform is now accessible to Max subscribers. Users provide only a final goal, and the system independently breaks the project into sub-tasks, creates AI sub-agents to execute them, and coordinates processes automatically and asynchronously.

How it works: The platform operates in a secure, isolated environment with access to a browser, connected file system, and third-party APIs to protect local data from potential failures in generated code. Multiple specialized AI models handle different functions: logic processing, deep research and sub-agent creation, large-context work, fast queries, and media generation. No human intervention is required once the goal is set.

The cost consideration: At $200 per month per subscriber, teams will need to evaluate whether the automation delivers sufficient time savings and productivity gains to justify the investment. Organizations should assess how the platform fits their specific workflow coordination needs and project complexity.

What's next: The launch represents a significant step toward autonomous AI task execution, positioning Perplexity at the forefront of multi-agent orchestration platforms. The platform's real-world performance in enterprise settings and its ability to deliver measurable productivity improvements will determine its adoption trajectory as organizations increasingly explore autonomous AI workers.

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