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The Perplexity Search API takes the top three spots on the Artificial Analysis Search Index. The medium setting scored five points above the previous leaders, and extended the quality-cost Pareto frontier at about $0.091 per task.
Artificial Analysis@ArtificialAnlys·Perplexity Search debuts on the Artificial Analysis Search Index, with all three context size variants taking top positions on the leaderboard The @perplexity_ai Search API comes with three context settings (low, medium, and high) that control how much extracted content each search result carries. We tested all three variants using our standardized methodology: the same model (GPT-5.6 Luna at medium reasoning), running inside Stirrup, our open-source agent harness, with tools for searching and fetching pages from the web. Only the provider behind the search tool changes. Key results: ➤ Perplexity Search (medium) scores 80 on the Artificial Analysis Search Index, ahead of the previous leaders, Parallel (advanced) and Brave Search (LLM context), at 75. The high and low variants score 79 and 77 respectively. Its lead is concentrated in BrowseComp results, with AA-Omniscience and DeepSearchQA scoring comparably to other leading providers ➤ Efficient search payloads: smaller overall search results mean the model reads less per task, so Perplexity has the lowest model inference cost per task of providers we’ve tested so far, ranging from $0.028 to $0.034 across the three variants vs $0.036 for the next lowest provider ➤ Total cost per task is ~$0.091 for the medium and high context variants, at mid-pack latency. For comparison, Parallel (advanced) costs $0.084 per task and Brave (LLM context) costs $0.13 per task
GLM 5.3 is now available in Perplexity Computer. Built for long-context, multimodal agent workloads, it beat GLM 5.2 on WANDR, our benchmark for large-scale, evidence-backed research.
Brain is our self-improving memory system for Perplexity Computer. It compiles sessions, files, and sources into a structured knowledge wiki. New evals build on our initial results, improving correctness by 9.3 points, currentness by 8.0, and recall by 8.9 with 15% fewer tokens.
Brain is a comprehensive memory system with three key components: durable memory storage, foreground agents that answer queries, and background agents that update and improve memory.
New research: Portable Computer is a local-first agent for private and cost-effective work. With an on-device 27B model, our harness scores 82.6% on real knowledge work, beating open-source harnesses Pi and Hermes. Our post-trained PPLX 27B reaches 85.4%.
The model and harness are designed together because small models fail in harnesses built for frontier models. Portable is a minimal system prompt, skills that load on demand, connectors as compact CLI tools instead of MCP servers, self-verification, and an always-on sandbox.
Today we’re launching Portable Computer on @NVIDIA DGX Spark. Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness all run on your local hardware. No cloud dependency.
When a task needs frontier reasoning, the orchestrator asks for approval before routing it to a frontier model in the cloud. It's user-gated, PII-flagged, and text guidance only. Your sensitive documents stay on your device.
DeepSeek V4 Pro, hosted in the U.S., is now available in Perplexity Computer. We evaluated it against other models on WANDR. It scored 0.359 at $0.75 per task, 62% cheaper than the next model on the cost-performance frontier.
Computer now works in email. Send, forward, or cc computer@perplexity.com on any thread. Every email task runs as a normal session in Computer, viewable on web and mobile, with the same audit trail as any task in the app.
Computer in Email is available to all Computer users today. Read more: perplexity.ai/hub/blog/compu…
Grok 4.6 is now available in Perplexity and Perplexity Computer. On WANDR, it sits on the Pareto frontier of performance and efficiency, matching Fable 5 results at over 60% lower cost.
We released Search as Code (SaC) in June, achieving state-of-the-art performance on wide and deep research. This week, we’re rolling out optimizations to SaC that further improve performance while cutting cost per task by nearly 10%.
How an SDK is shaped determines how well models can use it. We’ve rolled out two batches of Search SDK updates within Computer, raising execution reliability from 81.9% to 92.6%. More reliable action execution enables more capable orchestration.
GPT 5.6 Terra and Luna are now live in Perplexity Computer. Terra is the new default model for all Computer subagents, while Luna will serve as the primary model for scheduled automations. Terra is also available as an orchestrator model in Computer.
Terra is built for complex goal-oriented work, making it an ideal subagent. On WANDR, Terra scores 11 points above Sonnet while delivering order-of-magnitude cost reductions. Luna handles recurring workflows where speed and cost matter.
Today we're launching Projects, an evolution of Spaces. Projects are hubs for ongoing work in Computer. A single place to manage, create, and collaborate on tasks with a shared file system and persistent memory.
Each Project has a shared file system. Computer reads, edits, and saves Project files across sessions, so the work builds on itself with each task. When collaborating with teammates in a shared Project, everyone works from the same source of truth.
Today we’re open-sourcing Numbat, an agent-detection and response layer that is designed to work across agent harnesses. Numbat gives security teams visibility into agent activity, with controls to block selected actions before execution. Read more: research.perplexity.ai/articles/secur…
Numbat works across agent harnesses on desktop, CLI, IDE, and gateway agents. It supports live monitoring, local detection, pre-action blocking, and forensic reconstruction from existing session artifacts.
We've added Kimi K3 to Perplexity and Perplexity Computer for Pro and Max subscribers. Kimi K3 in Perplexity is hosted exclusively on U.S.-based servers.
Model Council is now available inside Computer. Run independent analysis across multiple frontier models, choose your analysis depth, and get a single cited report on where models agree, where they disagree, and what each found that others missed.
Read more about using Model Council inside Perplexity Computer: perplexity.ai/hub/blog/model…
Personal Computer is now available in the Perplexity app for Windows. Personal Computer is the local agent harness for your work. It orchestrates agents across your local files, connected apps, and the web. Research, code, browse, and build all inside one unified system.
Personal Computer routes work to subagents using 15+ models. Computer can open, read, and edit files inside approved local folders on your desktop. Every task starts with full context from your past tasks, files, and projects using Brain, our persistent memory system.
Claude Opus 5 is now available in Perplexity and Perplexity Computer. We evaluated it against six other models on WANDR. It outperformed all but Fable 5, while being 57% cheaper.
Introducing SPACE, the sandbox platform behind Perplexity Computer. It creates isolated environments for code, files, and long-running agent sessions. SPACE has handled 100% of Computer production traffic since June. research.perplexity.ai/articles/makin…
Agent infrastructure must be functional, efficient, and secure and traditional sandboxes were built for short-lived code execution. Agents need to run code, edit files, and run for hours or days. Runtimes must preserve work without leaving credentials inside environments.
We’re open sourcing WANDR. WANDR is an internal benchmark we built and used for building deep and wide research capabilities inside Perplexity Computer. research.perplexity.ai/articles/wandr…
Wide-and-deep research requires two capabilities. 1) Agents must search broadly enough to find all qualifying entities 2) Agents must investigate deep enough to support every claim with evidence.
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'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.
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.
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.
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.
Learn more about Computer for Counsel: perplexity.ai/enterprise/use…
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.
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.
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.
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.
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.
Yesterday at London Tech Week we announced the Billion Pound Build competition. Teams can enter to secure a share of £1M in Computer credits by using Perplexity Computer to build their company. The pitch phase is open now and closes on 6 July.
Submit your pitch: billionpoundbuild.pplx.app
1,500 teams entered the Billion Dollar Build and have been building for 7 weeks. 8 finalists present live on June 9 to our judges @LewisHamilton (7x World Champion Driver), @AravSrinivas (CEO, Perplexity), and @richminer (Co-Founder, Android). Register: luma.com/bdb-livereveal
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…
To compare the two products, we built 10,000 matched pairs where the same user asked near-identical queries to both Search and Computer, and Computer ran at least one execution tool. We then priced human time using BLS wages.
Nemotron 3 Ultra is now available for Pro and Max subscribers on Perplexity and Computer. It's @nvidia's new open model built for long-running agents.
Today we're launching the Main Street AI Accelerator with the U.S. Small Business Administration. We're committing $25M in Computer credits, $250 each for up to 100,000 eligible companies, in honor of America's 250th anniversary. Learn more: main-street-ai-accelerator.pplx.app
Perplexity Computer is for growing businesses. Computer connects to 400+ tools for every type of company, including Intuit QuickBooks, Vercel, Shopify, Canva, and more. Learn more about how people are using Computer for their business: perplexity.ai/enterprise/use…
Personal Computer is coming to Windows. Personal Computer for Windows runs on your machine and orchestrates across the apps and files you use every day. We'll roll out first to paying Max and Enterprise Max subscribers on the waitlist.
Join the waitlist for Personal Computer on Windows: perplexity.ai/hub/products/c…
Two new ways to bring your health data into Perplexity. Perplexity now connects to Apple Health on iPhone. Use your sleep, activity, and HRV data in Computer. Function is now available in Perplexity Health. Add labs and ask about biomarkers, blood draws, or panel results.
Today we're announcing that hybrid agentic inference is coming to Perplexity Computer. Computer can split tasks between a local model running on your machine and frontier models in the cloud. This keeps private data on your device and maximizes token efficiency. Coming soon.
Read more about hybrid agentic inference in Perplexity Computer: perplexity.ai/hub/blog/the-d…
Introducing Search as Code, our new search architecture for AI agents. It writes Python that calls our search stack directly, instead of looping through function calls one at a time. Available in the Perplexity Agent API, and now default in Computer. research.perplexity.ai/articles/rethi…
@PPLXDevs The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.
Claude Opus 4.8 is now available for Max subscribers on Perplexity and Computer.