ChatGPT vs Perplexity in 2026: Which AI Is Better?
Quick verdict
Based on the current workflow and feature comparison, ChatGPT is our overall pick for broader all-purpose work because it moves more naturally from research into writing, file analysis, data work, images, coding and finished deliverables. Perplexity is our research-first pick when the main job is finding current information quickly, seeing citations beside claims and opening the original sources for verification. The controlled tests below are narrow evidence checks and do not by themselves determine the overall recommendation.
ChatGPT and Perplexity now overlap more than their reputations suggest. Both can search the web, cite sources, analyze uploaded files, answer follow-up questions and conduct deeper research. Both also offer paid plans with higher limits and more capable tools. The important difference is their center of gravity: ChatGPT begins as a flexible AI workspace, while Perplexity begins as an answer engine built around live information and sources.
That difference affects the entire workflow. If you need to research a market, draft a brief, revise the language, analyze a spreadsheet and create a final document, ChatGPT usually feels more complete. If you need a concise answer about a changing topic and want to inspect the supporting pages immediately, Perplexity usually gets to the evidence faster.
For full product coverage, read our individual ChatGPT review and Perplexity review. You can also compare both with Claude and Gemini in our guide to the best AI writing tools in 2026.
Current ChatGPT and Perplexity models in 2026
In regular ChatGPT conversations, GPT-5.6 Luna powers the default experience for Free and Go users, while eligible paid plans can use GPT-5.6 Sol for higher-reasoning work. Current paid access can also include GPT-5.6 Sol Pro for more demanding tasks and, on eligible plans, GPT-6 Pro powered by GPT-6 Astra. Exact model access, reasoning levels and usage allowances vary by plan and managed-workspace settings.
Perplexity is different because it acts as a multi-model research layer rather than relying on one model family. Its current advanced-model documentation lists options such as Sonar 2, GPT-5.6 Terra, Gemini 3.1 Pro and Claude Sonnet 5 on eligible Pro workflows, while Max can add higher-tier choices including GPT-5.6 Sol and Claude Opus 5. The model selector available in the user's account remains the final source of truth because supported models can change over time.
Model names and availability are only one part of the decision. ChatGPT's advantage is the integrated OpenAI workspace around research, files, Projects, images, coding and finished deliverables, while Perplexity's advantage is the ability to combine a research-first interface with supported models from multiple providers. This comparison therefore evaluates the complete workflow rather than choosing a winner only because of one temporary model version.
ChatGPT vs Perplexity at a glance
| Category | ChatGPT | Perplexity | Our pick |
|---|---|---|---|
| General use | Broad workspace for writing, research, files, projects, images, code and deliverables | Search-first answer engine for current questions, sources and focused exploration | ChatGPT |
| Quick web research | Search produces current answers with citations and a sources panel | Every search is organized around live web sources and inline citations | Perplexity |
| Deep research | Creates an editable plan, uses selected web, file and connected-app sources, then produces a documented report | Automatically performs many searches, reasons over sources and produces an exportable report | Depends |
| Writing and editing | Strong multi-step drafting, revision and format creation inside Projects | Useful for summaries and research-based drafts, with creation tools on paid plans | ChatGPT |
| Citation workflow | Citations appear in Search and Deep Research responses when web sources are used | Inline numbered citations are central to the normal search experience | Perplexity |
| Files and data | Uploads, analysis, calculations, charts and file creation in supported experiences | Analyzes documents and media; long files may be processed through selected relevant sections | ChatGPT |
| Ongoing work | Projects keep chats, files, instructions, memory and tools together | Projects organize sessions, files, instructions, collaborators and connected context | ChatGPT, narrowly |
| Model choice | Integrated OpenAI model selection varies by plan and task | Paid users can choose among supported models from several providers for eligible searches | Perplexity |
| Images and coding | More complete creative, coding and multimodal workflow | Paid plans add image/video generation and Create files and apps | ChatGPT |
| Starting price | Free tier; ChatGPT Go is $8 monthly in the US | Free tier; Perplexity Pro is $20 monthly or $200 annually | ChatGPT |
How we compared ChatGPT and Perplexity
A useful comparison should reflect the work people actually do. We therefore considered the full path from the first question to a result that can be checked, developed and reused. This is an independent editorial comparison based on official OpenAI and Perplexity product documentation, practical workflow requirements and the narrow controlled tests disclosed later in the article. It does not use an invented benchmark score, and neither company paid for placement.
The review focuses on eight questions:
- How quickly can each tool find a current answer that is easy to verify?
- Are citations and original sources easy to inspect and trace back to the claim?
- Can a complex question become a structured, source-backed research report?
- How well does each tool turn research into polished writing and usable deliverables?
- Can it work effectively with files, calculations and mixed source material?
- How well does it keep continuing research and project context organized across sessions?
- What can it produce beyond a conversational answer, including files, visuals, code or other outputs?
- When does a paid plan save enough time or unlock enough capacity to justify the cost?
1. Everyday experience and purpose
ChatGPT is a workspace; Perplexity is a research lens
ChatGPT is designed for a wider range of tasks. A conversation can begin with a question, move into web research, use uploaded files, produce calculations or images, and end with a document, spreadsheet, presentation, app or other reviewable result in supported experiences. That flexibility matters when the next step is not known at the beginning.
Perplexity is more focused. Its default behavior is to search, synthesize and cite. That makes the first interaction efficient: type a question, receive an answer, inspect the numbered sources and ask a follow-up without losing the thread. For discovery work, this focus is a strength rather than a limitation.
The choice becomes clearer when you define the final outcome. A researcher who wants a reading list and current overview may prefer Perplexity. A consultant who needs the overview transformed into a client brief, chart and presentation may get more value from ChatGPT. Perplexity has expanded into files, projects and creation, but ChatGPT still provides the more natural all-purpose workspace.
2. Web search and source visibility
Source-first research remains Perplexity's clearest advantage
Perplexity describes itself as an AI answer engine. It searches the web in real time, turns the findings into a conversational answer and places numbered citations beside the relevant passages. Users can open the original pages immediately, which encourages a healthy research habit: treat the answer as a map to sources rather than as the final authority.
Pro Search goes further by running multiple searches and synthesizing a wider set of material. Eligible paid users can choose supported models for certain modes, while the default Best mode can select a suitable model automatically. This combination of search depth, source visibility and model choice makes Perplexity particularly useful for news, market scans, product research, travel planning and unfamiliar topics.
ChatGPT Search also provides current answers with citations. A user can select a citation to open its source and use the Sources view to see cited and related pages. It is capable, but citations feel like one part of a broader assistant. In Perplexity, they are the core interaction.
3. Deep research for complex questions
Perplexity is fast and research-native; ChatGPT offers more source control and continuity
Perplexity Research is built for questions that need more than a quick search. According to its documentation, the mode performs many searches, reads a large source set, reasons through the material and produces a comprehensive report. The result can be exported to a PDF or document or converted into a shareable Perplexity Page. The tool automatically selects the model combination for Research mode.
ChatGPT Deep Research also plans, searches and synthesizes across multiple sources. The workflow gives the user control over allowed websites, uploaded files and enabled apps. It proposes a research plan that can be reviewed and changed before the run, shows progress and returns a structured report with citations or source links. That is valuable when the scope or approved source set matters as much as speed.
Perplexity may feel faster for a broad landscape scan. ChatGPT may fit better when the research must be combined with private files, connected sources, follow-up analysis and a larger deliverable. The honest winner depends on the question, the permitted evidence and what must happen after the report.
- You want to review or edit the research plan.
- Specific sites, uploaded files or connected apps should be used.
- The report will continue into writing, analysis or file creation.
- You need one Project to preserve the full working context.
- You want a fast, source-rich landscape report.
- The open web is the main evidence base.
- You want a research-native interface with easy source exploration.
- Exporting or sharing the report is the main next step.
4. Writing, editing and polished deliverables
Research is only useful when it becomes usable work
ChatGPT is the stronger choice for sustained drafting and revision. It can help define the audience, create an outline, draft sections, compare versions, change tone, shorten repetition and apply detailed review criteria. A writer can keep source files, editorial instructions and related conversations inside a Project, reducing the need to restate the brief.
Its broader creation tools matter after the prose is approved. Depending on the experience and plan, ChatGPT can turn the work into formatted files, spreadsheets, charts, images, code or a small interactive deliverable. This makes it easier to move from “tell me about the topic” to “produce something I can review and use.”
Perplexity can write summaries, outlines and research-based drafts, and its paid Create files and apps capability can assemble reports, spreadsheets, dashboards and simple applications. Even so, the interface and product identity remain research-first. For a multi-round editorial process, ChatGPT feels more natural and gives the user more room to develop the final form.
Neither tool should publish unchecked copy. Generic prompts often create generic language; cited research can still be misunderstood; and smooth prose can hide factual gaps. Add your own experience, challenge weak claims, remove unsupported certainty and edit the final text for the reader rather than for a keyword count.
5. Files, data analysis and document work
Both accept files, but ChatGPT has the broader analysis-to-output path
ChatGPT can work with supported documents, spreadsheets, PDFs, images and data exports. It can summarize, compare, reorganize, calculate, visualize and use uploaded material as context for a new deliverable. When data analysis is available, the tool can run structured calculations and create charts instead of relying only on prose reasoning.
Perplexity supports files and folders through attachment controls. It can analyze PDFs, CSVs, audio, video and images on eligible plans and use them as context for follow-up questions. Perplexity notes that short files can be processed in full while long files may be handled by extracting the most relevant parts. That is efficient, but it makes targeted questions and spot checks important.
ChatGPT wins because document analysis, calculations, writing and output creation sit closer together. Perplexity is compelling when the file is one source inside a broader web investigation, especially when users want to compare internal material with current public sources.
6. Projects, memory and collaboration
Both can organize ongoing work
ChatGPT Projects are smart workspaces that group chats, reference files and custom instructions. Project memory and context help the assistant remain focused on a continuing assignment. This is useful for an editorial calendar, research project, product launch, software build or any work that develops across several sessions.
Perplexity Projects also provide persistent workspaces. They can combine Search conversations, Computer tasks, files, custom instructions and connected sources, with sharing roles for collaborators. Files may be uploaded individually, as folders or from supported connected sources. This is stronger project organization than users may expect from a search-focused product.
ChatGPT receives the narrow win because its Projects support a wider mix of creative and production work. Perplexity Projects are excellent when the workspace is centered on research, monitored information and source-backed tasks. Teams should compare permissions, retention and administrator controls rather than assuming consumer-plan behavior applies to business accounts.
7. Models, reasoning and control
Perplexity offers a multi-model research layer
Perplexity Pro lets users choose among eligible models from Perplexity and other providers for supported Search modes. Its current advanced-model page lists options such as Sonar 2, GPT-5.6 Terra, Gemini 3.1 Pro and Claude Sonnet 5 on Pro, while Max adds higher-tier choices including GPT-5.6 Sol and Claude Opus 5. The available model list changes over time, and the selector shown in the account is the final source of truth.
ChatGPT is an OpenAI environment. As of October 4, 2026, GPT-5.6 Luna powers the default experience for Free and Go users, while GPT-5.6 Sol powers eligible paid-plan reasoning options. Pro-model access includes GPT-5.6 Sol Pro and, on eligible plans, GPT-6 Pro powered by GPT-6 Astra; managed-workspace permissions can affect availability. The advantage is coherence: the same account connects search, files, Projects, image work, GPTs, apps and other supported workflows. The trade-off is that ChatGPT does not act as a general multi-provider model marketplace.
Do not choose a subscription only because a familiar model name appears in a selector. The surrounding search system, tools, context limits and product settings can change the result. Test the complete workflow you need, not just a single prompt.
8. Images, coding and work beyond research
ChatGPT has the more mature general creation workflow
ChatGPT can generate and edit images, interpret visual inputs, help with code and build varied files or interactive outputs in supported environments. The advantage is not any single feature. It is the ability to combine them: research a product, analyze a spreadsheet, draft the copy, generate a visual and assemble the result without treating each stage as a separate search.
Perplexity Pro adds image generation, limited video generation and Create files and apps. Its Computer product can also research, browse, code, create and automate in supported plans. These additions make Perplexity far broader than a traditional search engine, but the product's clearest value remains source-grounded information discovery.
Choose ChatGPT when creative production or technical work is central. Choose Perplexity when those outputs are secondary to a research process. In either case, test code, inspect calculations, review generated visuals and confirm commercial-use terms before publication. For specialist comparisons, see our best AI coding assistants in 2026 and best AI image generators in 2026.
9. Pricing and value
Compare what the paid plan saves you—not only the monthly price
Both products have useful free tiers, which is the correct place for most new users to begin. ChatGPT's free plan includes Search, Projects and limited access to uploads, data analysis, vision, image creation, deep research and other tools. Limits and speed vary. ChatGPT Go is $8 per month in the United States, with localized pricing in some markets, and provides higher limits for popular features such as messages, uploads and image creation. ChatGPT Plus is $20 per month. ChatGPT Pro now has three monthly individual tiers: Pro 100 at $100, Pro 200 at $200 and Pro 500 at $500. Pro 200 is available for new subscriptions again, while Pro 500 adds the highest included usage and Astra Ultrafast. Exact allowances can vary by tier and account, so check the current pricing page before subscribing. OpenAI does not currently offer annual billing for Go, Plus or Pro. Personal Free, Go, Plus and Pro accounts can use existing GPTs, but new GPT creation and publishing remain limited to eligible Business, Enterprise and Edu workspaces. API usage is a separate product with separate billing.
Perplexity's Standard plan provides practically unlimited basic searches, limited Pro Search and Research access, and limited file uploads under its current documented limits. Perplexity now describes several advanced-usage allowances with plan-based weekly or monthly limits rather than one permanent universal daily quota. Perplexity Pro is $20 per month or $200 per year and adds expanded Pro Search and Research access, eligible advanced-model selection, more citations, higher file limits, image and video generation, Projects and Create files and apps. Perplexity Max is $200 per month or $2,000 per year and raises access to advanced models, Research, Create files and apps and newer features. Verified students and educators can also qualify for Education Pro at $10 per month.
| Plan question | ChatGPT | Perplexity |
|---|---|---|
| Can I start free? | Yes, with meaningful limits on advanced tools and capacity | Yes, with basic search plus limited advanced research and uploads |
| Main individual upgrade | Plus at $20 monthly | Pro at $20 monthly or $200 annually |
| Why upgrade? | More reasoning, research, files, images, projects and production capacity | More Pro Search, Research, citations, models, files and creation tools |
| High-end individual option | Pro 100 at $100/month; Pro 200 at $200/month; Pro 500 at $500/month with Astra Ultrafast | Max at $200/month or $2,000/year |
| Best value for | People producing many kinds of finished work | People performing frequent, source-heavy web research |
Value should be measured in avoided effort, not feature count. Track a week of real tasks. If a paid plan consistently saves research time, reduces tab switching, handles files that the free tier cannot or produces useful deliverables faster, the upgrade may be justified. If the benefit is occasional convenience, remain on the free plan.
If your decision is wider than these two assistants, compare our best AI productivity tools in 2026 for research, meetings, documents, automation and ongoing work.
10. Accuracy, citations and privacy
Citations and AI output still need human verification
Neither ChatGPT nor Perplexity is always accurate. Search and deep research improve access to current information, but they do not eliminate wrong interpretations, missing context, weak sources or fabricated details. Perplexity's dense citation design makes verification easier; it does not guarantee that every sentence is fully supported. ChatGPT's broader tools can improve calculations and structured analysis; they do not remove the need to test the result.
Privacy decisions should be plan-specific. OpenAI provides consumer data controls and separate business or enterprise terms. Perplexity currently says consumer Pro, Education Pro and Max users can opt out of AI training data collection, while Enterprise Pro and Enterprise Max data is not used for model training. That does not mean every plan has identical retention, connector, sharing or administrator policies, so sensitive work should be reviewed against the exact workspace settings and current privacy documentation.
Which tool should you choose?
ChatGPT — best for broader all-purpose AI work
Best for: writers, professionals, creators, developers and teams that want research, drafting, file analysis, data work, images, coding and finished deliverables in one broader workspace.
ChatGPT is the stronger fit when the answer is only the beginning. In this comparison, its main advantage is workflow breadth: a task can move from current-web research into writing, uploaded-file analysis, calculations, visuals, code and a final deliverable without changing products. Projects and related workspace features also make it easier to keep multi-session work together.
Pricing: ChatGPT has a Free plan, Go at $8 per month in the United States, Plus at $20 per month, and current Pro tiers at $100, $200 and $500 per month. Pro 500 includes Astra Ultrafast. Availability, usage allowances and regional pricing can vary. .
Pros
- Broad workflow from research to writing, analysis, code, images and files
- Strong fit for multi-step projects that change shape during the work
- Useful project context and connected-tool options for continuing assignments
Cons
- Citations are less central to the default experience than in Perplexity
- Higher-capacity Pro tiers are expensive for light or occasional users
- The broad feature set can be unnecessary when the only goal is fast source discovery
Choose ChatGPT if: you regularly need to turn research into something else—an article, analysis, spreadsheet, chart, image, code project or other finished output.
Perplexity — best for citation-first web research
Best for: researchers, students, analysts, shoppers, travelers and power users who want fast current-web discovery with visible citations and direct routes to the underlying sources.
Perplexity is the stronger specialist when finding and checking current information is the main job. Its standard search experience is organized around live web sources and inline citations, making it easy to move from an answer to the pages behind it. Pro and Max extend that research-first workflow with more advanced models, file analysis, Research and creation features.
Pricing: Perplexity has a Free Standard plan, Pro at $20 per month or $200 per year, and Max at $200 per month or $2,000 per year. Education Pro is $10 per month for verified eligible users. Limits and plan features can change. .
Pros
- Inline citations and source visibility are central to ordinary search
- Fast workflow for current-event, market, product and unfamiliar-topic research
- Eligible paid plans provide broader model choice and higher research limits
Cons
- Research-first workflow is less natural for long multi-stage production work
- A real citation can still be summarized incorrectly and must be checked
- Max is expensive unless the higher research and creation limits are used regularly
Choose Perplexity if: a concise, current and easily checkable answer—with visible sources—is usually the final destination rather than one step in a larger production workflow.
A simple five-task test before you pay
The fairest comparison uses your own work. Run these five tasks on both free plans and record the time needed to reach a trustworthy result:
- Current fact check: ask a narrow question whose answer changed recently. Open every citation and score whether the claim is directly supported.
- Research brief: request a two-page overview using primary sources, explicit dates and a clear section for uncertainty.
- File analysis: upload a non-sensitive document or spreadsheet and ask for findings tied to page numbers, rows or source passages.
- Editorial task: turn the research into an audience-specific article, then request two focused revision rounds.
- Final output: ask for the result in the format you actually use—a document, table, chart, presentation outline or project brief.
Score source quality, citation accuracy, editing time, file handling, final usefulness and the number of manual steps. The better tool is the one that improves the entire task without creating more verification work than it saves.
Our original five-test ChatGPT vs Perplexity comparison
We tested ChatGPT and Perplexity with the same five prompts covering research, writing, reasoning, summarization and product recommendation. Each prompt was submitted in a new chat, and we scored only the first response without regenerating it.
| Test | ChatGPT | Perplexity | Winner |
|---|---|---|---|
| Research and citations | 46/50 | 37.5/50 | ChatGPT |
| Writing and instruction-following | 42/50 | 46/50 | Perplexity |
| Reasoning and planning | 49/50 | 49/50 | Tie |
| Summarization accuracy | 50/50 | 49/50 | ChatGPT |
| Current product recommendation | 48.5/50 | 45/50 | ChatGPT |
| Total | 235.5/250 | 226.5/250 | ChatGPT |
What the five tests revealed
- Research and citations: ChatGPT interpreted conflicting official plan information more accurately and clearly marked uncertainty. Perplexity supplied frequent citations, but several details were outdated or misread.
- Writing: Perplexity followed the requested email structure more completely. ChatGPT produced richer copy and stayed closer to the target length, but it omitted the required subject line.
- Reasoning: Both tools correctly identified an impossible 22-hour workload inside a 20-hour week and proposed the same smallest practical adjustment.
- Summarization: Both followed the strict five-bullet format. ChatGPT preserved the refund wording slightly more precisely.
- Recommendation: ChatGPT stayed within the 250-word limit and gave a well-supported decision. Perplexity provided a strong comparison but exceeded the word limit and used older product terminology.
Our test verdict
ChatGPT wins this five-test comparison. It was more consistent across mixed tasks and made fewer factual or instruction-following mistakes overall. Perplexity is still the better specialist when fast web discovery, visible citations and source verification are the main priorities.
September 29 current-web research check
We also ran a narrow current-web research check on September 29, 2026 using the same locked five-fact prompt in ChatGPT and Perplexity. The task required official or primary sources only, a fixed table format, no recommendation, and explicit handling of conflicting official evidence.
| Check | ChatGPT | Perplexity |
|---|---|---|
| Locked 10-point result | 10/10 | 8/10 |
| Four uncontested fact checks | Passed all four | Passed all four |
| Otter annual-price conflict | Detected conflicting official evidence and surfaced both the $8.49 and $8.33 annual references. | Returned $8.33 and did not flag the conflicting official $8.49 reference. |
This was one narrow source-conflict research task, not a general accuracy benchmark. It supports only the observed behavior in this test and does not establish a universal product winner.
Last reviewed: October 4, 2026. Features, supported models, limits and prices may change.
Related AI assistant comparisons
Frequently asked questions
Is Perplexity better than ChatGPT for research?
Perplexity is usually better for fast web discovery because live sources and inline citations define the standard experience. ChatGPT can be better for complex research that must use selected websites, uploaded files or connected apps and then continue into analysis or a finished deliverable.
Does ChatGPT provide citations like Perplexity?
Yes. ChatGPT Search responses can include citations and a Sources view, while Deep Research produces structured reports with citations or source links. Perplexity makes citations more consistently visible during ordinary search, which is why its verification workflow feels more immediate.
Can Perplexity replace ChatGPT?
It can for users whose work is mainly search, source discovery, current-event research and concise answers. It is less likely to replace ChatGPT for users who regularly combine writing, calculations, files, images, coding, apps and varied deliverables.
Which tool is better for students?
Perplexity is attractive for finding sources and exploring a topic. ChatGPT is stronger for explanations, practice, document work and turning notes into structured study materials. Students should open the cited sources, follow institutional rules and use either tool to support learning rather than replace it.
Which free plan is better?
ChatGPT Free is better for trying a wider set of workflows, although advanced tools have limits. Perplexity Free is better for frequent basic searches with citations, with limited access to Pro Search, Research and uploads. Test both because limits and availability change.
Is Perplexity Pro worth $20 per month?
It can be worthwhile for people who perform source-heavy research every week and benefit from extended Pro Search, Research, model choice and higher file limits. It is difficult to justify if basic search already covers the workload. Measure time saved before subscribing.
Can I use both together?
Yes. A practical combination is to use Perplexity for rapid source discovery and ChatGPT for deeper synthesis, drafting, file analysis and final output. Do not transfer a claim blindly between tools; preserve the source links and verify the evidence at the final publication stage.
Testing & Evidence Disclosure
We ran the original five-test comparison above on August 24, 2026 using identical prompts and the first response from each tool. Those tests covered research and citations, writing and instruction-following, reasoning and planning, summarization, and a current product recommendation. On September 29, 2026, we added a separate locked current-web five-fact research check using official or primary sources only. ChatGPT passed all 10 predefined checks; Perplexity passed 8 of 10 because it returned one Otter annual price without flagging conflicting official Otter evidence. Both evidence sets are narrow practical tests, not universal accuracy benchmarks and not standalone proof of the overall recommendation. Current feature and plan claims were rechecked against official sources on October 4, 2026, and results may change as both products are updated.
Final verdict
ChatGPT is our overall pick in this comparison for broader AI-workspace use. It can research, write, analyze, create and keep a long-running project together. For users with mixed responsibilities, that breadth can be more useful than optimizing every session around search.
Perplexity is our pick for focused web research. Its direct answers, inline citations, source exploration, Pro Search and Research mode make it a strong fit for finding current information and deciding what to read next.
The most honest recommendation is simple: choose ChatGPT if you need to produce varied work after the answer; choose Perplexity if the answer and its sources are the main product. Start free, test the same five tasks and upgrade only when a documented limit interrupts useful work.
Official Sources Checked
- ChatGPT Go and individual plan pricing
- Current ChatGPT Pro tiers
- GPT-5.6 and GPT-6 Pro availability in ChatGPT
- ChatGPT Search and citations
- Deep Research in ChatGPT
- Projects in ChatGPT
- Creating and editing GPTs
- Perplexity Pro pricing and product overview
- Perplexity plan comparison and current limits
- Perplexity Max pricing and plan details
- Perplexity Pro Search
- Perplexity Research mode
- Perplexity current Pro/Max model availability
- Perplexity file uploads
- Perplexity Projects
- Perplexity file and app creation
- Perplexity Computer
Sources last checked: October 4, 2026.
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