Anthropic is an AI research company whose product, Claude, is an AI assistant available for a variety of business tasks. Boasting a 100K+ token windows, Claude can handle complex multi-step instructions over large amounts of content.
$20
per month
Perplexity
Score8.7 out of 10
N/A
Perplexity Enterprise is an enterprise research and knowledge platform that combines web research, internal knowledge search, multiple AI models, and agentic task execution. Employees can use it to find cited information on the public web, ask questions across connected company content, analyze files, conduct multi-step research, and create work products from a governed workspace.
$20
per month
Pricing
Claude
Perplexity
Editions & Modules
Pro
$20
per month
Team - Standard
$30
per month per seat (minimum 5)
Team - Premium
$150
per month per seat (minimum 5)
Max
from $100
per month
Enterprise
Contact Sales
No answers on this topic
Offerings
Pricing Offerings
Claude
Perplexity
Free Trial
No
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Discount available for annual billing and Pro, Max and Standard Team plans. Claude Code included in higher tier service. Usage-based billing available with API access plans with discount for batch processing.
CEO in Information Technology at RIO3 Consulting (Computer Software, 1-10 employees)
Chose Claude
Anthropic Claude is just as good as any of the aforementioned platforms. We were using ChatGPT primarily before Claude. We have leaned more to Claude in recent months, but use other solutions to keep a balanced approach to research and analysis. We plan to keep Claude as a …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Perplexity AI, Inc.
Verified User
Chose Perplexity
Compared to the competitors Perplexity is more advanced in terms of doing its own research and giving an output that others cannot generate. Its algorithm is well equipped to handle complex queries and asks followup questions to gererate the desired output. Its faster and the …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Knowledge Lead in Information Technology at ACC New Zealand (Government Administration, 1001-5000 employees)
Chose Perplexity
Perplexity offers a unique approach to generative ai tools, which is built more around a search engine, over a chat style tool. While this is novel, and some times more useful than the chat type of tool, i didn't feel it added enough value or increased power over the standard …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose Perplexity
Perplexity is a good allrounder when it comes to different use cases that an AI could or should cover. There are other AI tools that are better for specific niches such as creation of pictures or other content. But all in all Perplexity is on eye level with ChatGPT and other …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose Perplexity
I think they both do well. I use ChatGPT for some pre-created GPTs. So because I use them for different functions, it's hard to compare them head-to-head. I also use an Abacus, which I like a lot. Overall, they are all good, but I have different use cases for each one.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
If you have a sprawling legacy codebase without human subject matter expertise, Claude can be a decent option to get you through some bug triage. However, if you have a legacy codebase and no SMEs, you have bigger problems than bugs. LLMs are known for their uncanny abilities to trick a certain type of user into believing they have created something beautiful and useful, and this undercurrent of delusion runs strong through Claude.
Perplexity is helpful when you want auto-code generation for day-to-day problem scenarios such as Powershell script to accomplish a task, Code to invoke a REST API, Class generation from JSON/XML data, etc. It is also helpful when you want to correct or optimize code that you have self-written. Perplexity might not be best suited for scenarios when you need 100% accuracy without your self-verification of correctness.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Claude code has wonderful capabilities like code completion, debugging, understanding the code, etc. The features of Anthropic Claude like connectors, skills, hooks, subagents, etc are very helpful in terms of development. It helps us to boost the productivity.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It's great, but doesn't necessarily feel like it adds enough value over using CoPilot, ChatGPT, or whichever generative AI tool your business already uses. Time will tell if this model continues to be developed, and whether it remains competitive with the other big models out in the industry, and innovating features and integrating more use cases fast.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It really stands out when it comes to coding because it simply does it better than anyone else. It easily understands complex architecture, different programming languages, and projects with hundreds of files. It manages to create things where all other models fail.
I use all three at present, Perplexity IS outstanding when It comes to researching, like a search engine on steroids. If you need programming skills Claude or Chatgpt seem better suited for the task. What I normally do in a project IS use all three in order to arrive at a more insightful outcome. The BEST of all world.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
