Gemini Vs ChatGPT Which is Better?

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In response to the rising popularity of ChatGPT, Google has launched Bard, a collaborative AI tool. More recently, Google has released an updated version of its chatbot, aiming to compete with or even surpass OpenAI’s ChatGPT.

What Is Gemini?

Gemini, Google’s latest and most powerful large language model, showcases advanced multimodal capabilities. The AI tool comes in three variants – Gemini Nano, Gemini Pro, and the upcoming Gemini Ultra – each tailored to meet different user needs. Compared to its predecessor, Gemini AI exhibits greater power and versatility, excelling in handling multimedia formats such as text, images, video, audio, and code.  

Gemini vs ChatGPT

Before we proceed with comparing Gemini and ChatGPT, it’s crucial to highlight that Gemini Pro, the intermediate variant known for its advanced text-based capabilities, it has been incorporated into Google Bard. This integration aims to enhance the accuracy and quality of responses.

The current iteration of Bard is similar to ChatGPT, which is based on the GPT-3.5 model. However, it’s worth noting that the predecessor of the more advanced ChatGPT Plus variant is based on the GPT-4 model.  

Launch Date

In November 2022, OpenAI, with significant funding from Microsoft, launched public access to ChatGPT, entering into competition with Google and others in the field of generative AI. Just over a year later, in December 2023, Google released the Gemini in 13 December for the public.


Language: In a test that measures how well AI understands different topics, Gemini Pro scored 79.13%, while GPT-3.5 scored 70%. This makes Gemini Pro the first model to perform better than human experts in this test.

Arithmetic Reasoning: In a test that checks how well AI can solve math problems, Gemini Pro scored 86.5%, while GPT-3.5 scored 57.1%. This shows that Gemini Pro is much better at solving math problems than GPT-3.5.  

Code Generation: In a test that checks how well AI can write computer code, Gemini Pro scored 67.7%, while GPT-3.5 scored 48.1%. The only area where GPT-3.5 did better than Gemini Pro was in math problems. In that category, GPT-3.5 scored 34.1% while Gemini Pro scored slightly lower at 32.6%.  

Gemini And Chatgpt Pricing

Both AI systems provide options for chatbot and API usage, with a range of free and paid alternatives outlined in the following sections.

Gemini Chatbot Pricing

You can use Gemini Pro for free when you use Google Bard in countries where Bard is available. To use Bard, you need to log in with a Google account. Google has mentioned a future release of Bard Advanced, but there are not many details available yet.  

Chatgpt Chatbot Pricing

You can use ChatGPT with GPT-3.5 for free when you sign up for an OpenAI account. If you want more features, there’s a paid option called ChatGPT Plus, which costs $20 per month. It gives you access to GPT-4 and lets you browse and analyze information. It also includes DALL-E, which can generate images based on your input. Some other companies also use ChatGPT, and they might offer limited free prompts or paid upgrades for better features. These companies include Bing Chat, Microsoft Copilot,, and Poe.  

Google Gemini developer pricing

You can use Google AI Studio to access Gemini Pro for free, but there’s a limit of 60 requests per minute. Also, developers using Vertex AI can access Gemini Pro for free now, but once it becomes generally available in 2024, there will be a charge of $0.00025 per 1,000 characters for input ($0.0025 per image) and $0.0005 per 1,000 characters for output. There are no pricing details available yet for Gemini Ultra.  

Chatgpt Developer Pricing

If you sign up for the OpenAI API, you can access different AI models, and the cost varies depending on the model and how much you use it. OpenAI measures usage in tokens, where 1,000 tokens is about 750 words. Here are the prices for some popular models:

  • For GPT-4 Turbo (also known as gpt-4-1106-preview), it’s $0.01 for every 1,000 tokens for input and $0.03 for every 1,000 tokens for output.
  • For the GPT-4-32k model, it’s $0.06 for every 1,000 tokens for input and $0.12 for every 1,000 tokens for output.
  • For the gpt-3.5-turbo-1106 model, it’s $0.0010 for every 1,000 tokens for input and $0.0020 for every 1,000 tokens for output.  

Gemini: Advantages and Disadvantages


  • Available in three sizes: Nano (on-device), Pro, and Ultra (most capable).
  • Google’s most advanced system to date.
  • Designed to be multimodal.
  • Free options for experimentation in Google Bard and Google AI Studio.
  • Planned integration of Gemini in various Google services and products.


  • Among the three Gemini sizes, only Gemini Pro is initially widely available for use.
  • Relative to ChatGPT, Gemini is less familiar to the public and developers.
  • Lack of transparency regarding source data.

ChatGPT: Advantages and Disadvantages


  • GPT-4 has historically performed well in various tests.
  • ChatGPT and ChatGPT Plus are popular and have many resources and guides available.
  • API access to different ChatGPT models has been available for some time.
  • There is a free option to try out (ChatGPT with GPT-3.5).


  • Recent leadership issues at OpenAI might lead some to look for other options.
  • There is a lack of transparency regarding the source data used.  

Comparison Table of Gemini and CharGpt

Notable editions and availabilityGemini Ultra, Announced for 2024
Gemini Pro, Dec. 2023
Gemini Nano, Dec. 2023
GPT-4, March 2023
GPT-3.5, Nov. 2022
Free chatbot accessGoogle Bard (use to access Gemini Pro)ChatGPT (access to GPT-3.5)
Paid chatbot accessNone (as of early February 2024)ChatGPT Plus, $20/month (access to GPT-4 with DALL-E, browsing and analysis); ChatGPT Team, $30/month ($25/month, paid annually); ChatGPT Enterprise (contact sales
API accessYes, Gemini Pro.Yes, GPT-4 Turbo, GPT-4, GPT-3.5 and others.

Final Thoughts:

In conclusion, the comparison between Gemini and ChatGPT, along with Gemini Ultra and ChatGPT-4, showcases significant advancements in AI capabilities. Gemini excels in language understanding, arithmetic reasoning, and code generation, while Gemini Ultra demonstrates strength in text processing, reasoning, mathematics, and multimedia content processing. The impressive performance of these models sets the stage for transformative human-technology interactions. Enterprise leaders should monitor both Gemini and ChatGPT, recognizing the evolving nature of AI platforms from both Google and OpenAI. Staying informed is crucial as these platforms continue to redefine technology engagement and innovation.

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