Perplexity Launches Computer Agent For Multi-Model Workflows

Perplexity is rolling out Computer, a cloud-based agent designed to pick and combine the right large language models for a task, not just the most famous one. Available on the $200 per month Perplexity Max tier, the system orchestrates 19 AI models and can spin up subagents to handle parts of complex workflows—an explicit bet that real productivity comes from specialization and routing rather than a single generalist model.

A Cloud Agent Built To Orchestrate Many Models

Perplexity describes Computer as a “unified” agent that can plan, execute, and monitor multi-step work across models, tools, and data sources. It runs entirely in the cloud, a choice pitched as safer and easier to govern than desktop-first agents that can access local files and systems. In practice, that means administrators can apply policy controls, audit logs, and revocation without asking users to tinker with their laptops.

The core differentiator is automatic model selection. If an LLM excels at code generation but struggles with math, Computer can route code to that model while delegating math to another, then merge results. Perplexity says the agent can also create subagents—specialists that take on tasks like scraping, data cleaning, or chart parsing—and rejoin their outputs into a final deliverable.

A planned demo of Computer was pulled after late-stage flaws were discovered, a reminder that autonomous agents are still brittle. Orchestration is powerful, but it raises failure…