Cursor is an IDE and code editor built for programming with AI. Cursor includes an autocomplete that predicts the next edit. Once enabled, it is always on and will suggest edits to code across multiple lines.
$20
per month
Google Gemini
Score 8.7 out of 10
N/A
Google Gemini (formerly Bard) is an AI assistant, presented as a creative and helpful collaborator. Gemini for Workspace is available via two plans: a Gemini Enterprise add-on, and a Gemini Business add-on.
N/A
Pricing
Cursor
Google Gemini
Editions & Modules
Pro
$20
per month
Teams
$40
per month per user
Pro+
$60
per month
Ultra
$200
per month
Enterprise
Custom
No answers on this topic
Offerings
Pricing Offerings
Cursor
Google Gemini
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Every plan includes a set amount of model usage. Additional usage is based on the models and features used. The Bugbot add-on is available at $40 per month, per user, or with Custom pricing for Enterprise customers. A discount is available for annual billing.
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More Pricing Information
Community Pulse
Cursor
Google Gemini
Considered Both Products
Cursor
No answer on this topic
Google Gemini
Verified User
Employee
Chose Google Gemini
I like the UI of Google Gemini way more, and I also love the inbuilt integrations it has with open google docs and sheets. ChatGPT does not have (AFAIK) a Deep research section. Google Gemini Gems is also an awesome addition which helps to automate mundane/repetitive tasks. I …
It is great for non-coders who have some technology knowledge and are comfortable following Cursor's instructions to build and deploy a webapp. Good prompting skills are needed. It is not for those who are not comfortable looking at raw codes. Cursor also is not very creative when it comes to user interface design.
Gemini is well suited to help in customer service, to create summaries of emails sent by customers, generating possible responses to them, rephrasing communications, help create and then correct SQL queries, interpreting responses, it's not so good if you need to help with a sensitive topic due to it taking personally identifying information
Deep research for getting first business research draft from Gemini, post which i use series of prompts to improve it and use my understanding to refine it further
Canvas to produce structured business topic research and newsletter. Direct edits to the sections and making client ready reports
Learning mode to get help on step by step automation of AI workflows
Currently the document database caps out at 10, requiring us to condense some of our policies
It's large context window is a blessing and a curse. Sometimes it stops generating half way through a very ambitious request as it delivers page after page of content
There is no way to share Gems currently, so we have to publish guides to our employees on how to best configure them
Really easy to use; we've been replacing all other IDEs for it now. As it is a fork of Visual Studio Code, we transitioned to it in a very smooth way, and now our development process is faster than ever. It supports a bunch of languages and we don't need to have a webpage with an LLM open now because it is all with Cursor.
Google Gemini Web UI provided an intuitive user experience with a collapsible side menu and a recent chat feature. It has a nice, clean design and easy-to-use "Ask Gemini" chat control with an integrated Tool menu that provides quick access to Deep Research and Create images options. One can also search for chats quickly and efficiently.
Softr's chat AI is less sophisticated. However, it is great for building simple database-driven webapps. I have used it together with Airtable to build a very simple webapp. It is drag and drop. Vercel V0's chatAI is faster and more friendly. The user interface is also more visually appealing and user friendly. It is comparable to Cursor though I have only used V0 briefly so have not gone through the learning curve.
Hootsuite's OwlyGPT is great for social listening data, but Gemini is far ahead in terms of caption writing and other writing needs. Even for content creation ideas, I'd rather take the social listening insights then feed that to Gemini. ChatGPT I truly have never been a fan of. Gemini's interface has always intrigued me more and I find it to have great functionality. Lastly, I included Perplexity - just to note another tool I've used. Perplexity is great for deep research, but outside of this I would always go with Gemini.
