Gemini vs Chatgpt: Which is Better from these?

Introduction

Artificial intelligence has witnessed a captivating duel unfold between two titans – Google’s Gemini AI and OpenAI’s ChatGPT. While ChatGPT has enjoyed the spotlight, Gemini AI has quietly built its arsenal, waiting for the opportune moment to strike. And strike it did, unleashing a barrage of impressive benchmarks that have shaken the very foundation of the AI landscape. Google has quietly observed from the sidelines for the past year as OpenAI’s ChatGPT took the world by storm. But now, it’s Google’s turn to shine. With the introduction of Gemini, a groundbreaking AI model, Google is not just entering the AI arena – it’s aiming to redefine it. Let’s dive into the clash of the titans in the AI arena: Gemini vs Chatgpt. 

Sundar Pichai, CEO of Google, has boldly declared the arrival of “a new era of AI” with the launch of Gemini, their most advanced large language model (LLM). Gemini boasts superior “reasoning capabilities,” allowing it to tackle complex questions with greater accuracy and depth, minimizing the risk of “hallucinations” that have plagued other AI models, including Google’s own. This breakthrough paves the way for a new generation of AI capable of intelligent and nuanced thought processes, sparking comparisons and discussions about Gemini vs ChatGPT and their respective strengths in the AI landscape.

Different Versions of Gemini

Gemini is designed to run efficiently on everything from data centers to mobile devices. This will allow developers and businesses of all sizes to integrate AI into their products and services easily.

Gemini’s state-of-the-art capabilities will significantly enhance how developers and enterprise customers build and scale with AI. With Gemini, Google is making AI more accessible and affordable than ever before.

Note: Gemini Pro and Nano can currently respond to text or code; we’ll have to wait to unlock their multimodality features.

The Comparison: Gemini vs ChatGPT

Though ChatGPT has dominated the headlines, Google’s Gemini AI has quietly risen to the forefront. 

• The most powerful version of Gemini AI, according to Google, outperforms ChatGPT on over 30 out of 32( around 90%) academic benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Does this mean Gemini is better than ChatGPT? Yes, in many modalities, but it’s a draw between both in text.
• In an MMLU(Massive Multitask Language Understanding) test covering 57 subjects, including math, physics, and law, Gemini AI even achieved a score of 90%, surpassing ChatGPT’s 86.4%. However, a direct comparison may not be entirely accurate because the tests used different assessment methodologies: Gemini employed Chain of Thoughts (CoT@32) while ChatGPT relied on the 5-shots technique, potentially impacting their final scores. (Let me know in the comments your take on this)
• The less powerful Pro model of Gemini AI performed well, outperforming GPT-3.5 (the LLM behind the free version of ChatGPT) in six out of eight tests. 

Source: Google Deep Mind

Gemini AI is a serious competitor to ChatGPT and could change the landscape of large language models. You can read the technical report in detail here.

Availability

• ChatGPT: OpenAI’s ChatGPT is currently available in a more open and accessible way through various platforms and APIs. It offers free access tiers with limited features and paid plans for extended functionalities.
• Gemini: Google’s Gemini is still under development and not publicly available. While details remain limited, expectations suggest it will offer different access options, potentially including limited free access and tiered paid plans, similar to other Google AI products.

Ease of Use

• ChatGPT: ChatGPT has a user-friendly interface and straightforward API, making it easy for beginners to start. Its simple text-based input and output format are readily accessible to many users.
• Gemini: With advanced capabilities, may need more technical expertise for complex tasks. The team hasn’t disclosed its interface and API details, but they might involve more complex configurations than ChatGPT.

Integration with Other Services

• ChatGPT: ChatGPT integrates with several existing platforms and applications, such as Discord, Telegram, and the web. This makes it readily accessible for various uses and user communities.
• Gemini: As a newer LLM, Gemini’s integration with existing services is likely limited at this stage. However, with Google’s extensive infrastructure and services, it can offer seamless integration with various Google products and services in the future.

Accessibility Tools

• ChatGPT: OpenAI provides various accessibility features for ChatGPT, including text-to-speech and speech-to-text options, making it more accessible for users with different abilities.
• Gemini: Although Gemini is unreleased, Google’s strong commitment to accessibility suggests that it will likely incorporate various accessibility tools upon release.

Cost

• ChatGPT: ChatGPT offers free access with limited features, making it accessible to budget-conscious users. Paid plans unlock additional features and functionalities.
• Gemini: The pricing details for Gemini are unknown. It will follow a similar structure as other Google AI products. Potentially offering free access to basic features and tiered paid plans for advanced functionalities.

Conclusion

Google’s Gemini AI competes fiercely with ChatGPT, outperforming in benchmarks and potentially reshaping language models. While ChatGPT is more accessible now, Gemini’s upcoming release aims to democratize advanced AI with diverse models for varying needs. With seamless integration, Gemini might become the preferred AI for developers and businesses, signaling a potential shift in AI supremacy. In comparing Gemini vs ChatGPT, developers and businesses are keen to explore the capabilities and advantages each platform offers, as they navigate the evolving landscape of artificial intelligence.

Himanshi Singh 06 Feb 2024

I am a data lover and I love to extract and understand the hidden patterns in the data. I want to learn and grow in the field of Machine Learning and Data Science.