Perplexity

We're releasing a research preview of a new orchestrator model in Perplexity Computer. The model is an adapted version of GLM 5.2, post-trained for the Computer harness. It delivers near-frontier performance at 0.344x of the cost of Opus.

Grok 4.5 is now available as an orchestrator model in Computer for Consumer Pro and Max subscribers. We evaluated it against five other orchestrator configurations on WANDR. It scored higher than every other configuration at roughly half the cost of Opus 4.8.

Introducing Computer Analytics: You can now track credit spend across models. Available now under Analytics in Account Settings for consumer and enterprise users.

GPT-5.6 Terra and Sol are now available in Perplexity and Perplexity Computer.

We measured cost per task against GLM 5.2 as the baseline. On WANDR, GLM 5.2 + advisor runs at 2.1x versus Opus at 6.1x, averaging roughly half the cost of Opus across all benchmarks.

The model has an advisor tool that natively escalates to a stronger model when needed. This model is hosted in the U.S. by Perplexity on Nvidia B200 GPUs. We will improve the model in research preview and publish full benchmarks in the coming weeks.

We're releasing a research preview of a new orchestrator model in Perplexity Computer. The model is an adapted version of GLM 5.2, post-trained for the Computer harness. It delivers near-frontier performance at 0.344x of the cost of Opus.

Claude Fable 5 is once again available in Computer as an orchestrator model.

Claude Sonnet 5 is now available in Perplexity for Pro and Max subscribers. You can also select it as an orchestrator model in Computer.

Learn more about Computer for Counsel: perplexity.ai/enterprise/use…

Introducing Computer for Counsel. Computer now connects the research databases, document tools, and matter-management systems lawyers use every day. Pull citable sources from @midpageAI, @LegalZoom, @Docusign, @netdocuments, and more. Available for all Pro and Max subscribers.

Every memory links back to the session, file, or source it came from with full transparency and control. You can access Brain and your saved memories under "Customize" in the sidebar. Read more about Brain: perplexity.ai/hub/blog/self-…

With Brain, Computer starts each task with full context of your projects, decisions, and sources instead of from scratch. On tasks that require past context, Brain improves answer correctness by 25%, recall by 16%, and runs 13% cheaper per task.

Introducing Brain in Computer. Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain. It makes Computer more stateful with every run. Available as a research preview for all Perplexity Max subscribers.

Learn more about Deep Research in Computer: perplexity.ai/hub/deep-resea…

Deep Research in Computer is built on our Search as Code architecture. The model writes code that assembles search itself, running thousands of retrieval steps in parallel, tailored to each question. It outperforms legacy Deep Research on every benchmark.

We're integrating Deep Research as a native skill inside Computer. It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data. Available now to Pro and Max subscribers.

Claude Fable 5 is now available in Computer as an orchestrator model. This is Anthropic's state-of-the-art model for long, complex tasks. Available only to Pro and Max subscribers in Computer.

Submit your pitch: billionpoundbuild.pplx.app

These results show that Computer increases autonomy, improves quality, cuts time and cost, and expands the scope of tasks users can attempt. Read the full paper: arxiv.org/abs/2606.07489

We found that more autonomy with autonomous agents like Computer tracks with higher quality and satisfaction.

We published new research with Harvard on the shift from chat interfaces to autonomous agents like Computer. Over 3 months, findings show workers using Computer finish tasks in 87% less time at 94% lower cost than Search alone, with higher satisfaction. research.perplexity.ai/articles/how-a…