OpenAI completely transformed the scenery of Generative AI with the release of Sora\u2019s text-to-video<\/a> cutting-edge technology. However, Google came back right into the scene with the release of Gemini 1.5, the latest upgrade to its rebranded version of Bard.<\/p>\n\n\n\n Gemini 1.5 Pro comes with the largest contextual window with 1 million tokens. It highly surpasses ChatGPT\u2019s token count of 128k.<\/strong><\/p>\n\n\n With a context window surpassing all its predecessors, Gemini possesses the ability to take in more information and process it in a given prompt. The vast amounts of information can range from 1 hour of video to even 11 hours of audio.<\/p>\n\n\n\n In a latest blog<\/a>, the CEO of Google said:<\/p>\n\n\n\n This new generation also delivers a breakthrough in long-context understanding. We\u2019ve been able to significantly increase the amount of information our models can process \u2014 running up to 1 million tokens consistently, achieving the longest context window of any large-scale foundation model yet.<\/p>\n-Sundar Pichai, CEO of Google and Alphabet CEO<\/cite><\/blockquote>\n\n\n\n Therefore, developers looking to process vast sources of information in a shorter time must stick to Gemini 1.5 Pro. Its high-performance capabilities will allow developers to work with different forms of input media such as words, images, videos, and audio. They can also expect more relevant, consistent, and useful processed output as compared to before.<\/p>\n\n\n\n Even after following Sora\u2019s release of cutting-edge text-to-video technology, it has been observed that Gemini 1.5 possesses a better understanding of video and audio multimedia.<\/strong><\/p>\n\n\n\n It indicates a better sense of understanding and analyzing video captioning and video question answering, two of the key aspects in generating content from video data.<\/p>\n\n\n\n It also surpasses GPT 4 in audio processing, showcasing its superiority in understanding and translating spoken language. The data is obtained from the official Google technical paper<\/a> and study by bito.ai<\/a>.<\/p>\n\n\n\n Video Understanding:<\/strong><\/p>\n\n\n\n Audio Processing:<\/strong><\/p>\n\n\n\n If you are a developer looking to generate factual information and derive information from video and audio multimedia, Gemini seems a better option for now at least.<\/p>\n\n\n\n When it comes to comprehension of the subject matter, Gemini 1.5 slightly outperforms GPT 4 when it comes to generating subjective content and detailed answers.<\/strong><\/p>\n\n\n\n However, it falls behind GPT 4 when it comes to reading comprehension and analyzing commonsense reasoning for everyday tasks. GPT 4 also outshines Gemini when it comes to complex mathematical concepts and its nuanced understanding.<\/p>\n\n\n\n General Reasoning and Comprehension:<\/strong><\/p>\n\n\n\n Mathematical Reasoning:<\/strong><\/p>\n\n\n\n Take a look at this post from X, where a user can be seen asking a similar question to both Gemini and GPT:<\/p>\n\n\n\n Gemini vs GPT-4 settled for good. pic.twitter.com\/hCzU7Uap92<\/a><\/p>— Emsi (@emsi_kil3r) February 16, 2024<\/a><\/blockquote> ![\"Google](\"https:\/\/favtutor.com\/articles\/wp-content\/uploads\/2024\/02\/Google-Gemini-1.5-Pro-1-Million-Tokens-1024x668.jpg\")
<\/figure>\n<\/div>\n\n\n\n
Audio and Video Processing<\/strong><\/h3>\n\n\n\n
Benchmark<\/strong><\/td> Gemini 1.5<\/strong><\/td> GPT-4 Turbo<\/strong><\/td> Description<\/strong><\/td><\/tr> VATEX<\/td> 63%<\/td> 56%<\/td> English Video Captioning<\/td><\/tr> Perception Text MCQA<\/td> 56.2%<\/td> 46.3%<\/td> Video Question Answering<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Benchmark<\/strong><\/td> Gemini 1.5<\/strong><\/td> GPT-4 Turbo<\/strong><\/td> Description<\/strong><\/td><\/tr> CoVoST 2<\/td> 40.1%<\/td> 29.1%<\/td> Automatic Speech Translation<\/td><\/tr> FLEURS<\/td> 6.6%<\/td> 17.6%<\/td> Automatic Speech Recognition<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n General and Mathematical Reasoning<\/strong><\/h3>\n\n\n\n
Benchmark<\/strong><\/td> Gemini 1.5<\/strong><\/td> GPT-4 Turbo<\/strong><\/td> Description<\/strong><\/td><\/tr> MMLU<\/td> 81.9%<\/td> 80.48%<\/td> Multitask Language Understanding<\/td><\/tr> Big-Bench Hard<\/td> 84%<\/td> 83.90%<\/td> Multi-Step Reasoning Task<\/td><\/tr> DROP<\/td> 78.9%<\/td> 83%<\/td> Reading Comprehension<\/td><\/tr> HellaSwag<\/td> 92.5%<\/td> 96%<\/td> Common Sense Reasoning for Everyday Tasks<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Benchmark<\/strong><\/td> Gemini 1.5<\/strong><\/td> GPT-4 Turbo<\/strong><\/td> Description<\/strong><\/td><\/tr> GSM8K<\/td> 91.7%<\/td> 92.95%<\/td> Basic Arithmetic and Grade School Math Problems<\/td><\/tr> MATH<\/td> 58.5%<\/td> 54%<\/td> Advance Math Problems<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n