Google Gemini vs. OpenAI ChatGPT 4: The panorama of artificial intelligence underwent a major makeshift with the launch of Google’s Gemini, a daunting rival of OpenAI’s GPT-4. Both platforms represent the cutting edge of large language models (LLMs) and mark various capabilities with different approaches and strengths.
This article will help you understand and navigate the differences between Google Gemini and OpenAI GPT-4 in the evolving AI landscape for future advancements.
Google’s Gemini and OpenAI ChatGPT-4 differences
1. Modality:
- GPT-4: Artificial intelligence specializes in text-based tasks, which include writing, translation, and code generation. It can give you responses in various formats, like poems, scripts, and emails.
- Gemini: Google’s model works on a multimodal approach. It is capable of processing and generating outputs for prompts in terms of text, image, audio, and video formats. This latest model is successful beyond traditional text-based tasks.
2. Architecture:
- GPT-4: The OpenAI latest version is based on Transformer architecture. Its efficiency and ability to handle long sequences of text is powered by the recurrent neural network (RNN).
- Gemini: Google’s AI bot is based on the architecture of ‘Multimodal Transformer.’ It integrates transformers with additional components for different modalities. This special architecture allows seamless interaction between text, image, audio, and video data.
3. Training Data:
- GPT-4: It is trained on a huge dataset that includes text and code, including books, articles, and websites. The GPT-4 also emphasized text-based data, which signifies textual tasks.
- Gemini: On the other hand, Gemini is trained on a diverse dataset comprising text, images, audio, and video. This wider range of training data adds value to its multi-modal capabilities.
4. Benchmark Performance:
- GPT-4: The OpenAI GPT-4 excels in text-based benchmarks. It achieves state-of-the-art results based on natural language processing tasks.
- Gemini: The latest unveil has set various benchmarks and has exceeded GPt-4 in 30 out of 32 benchmarks tested by Google. It works beyond text-based tasks and marks excellence in image, audio, and video domains.
5. Accessibility:
- GPT-4: Currently in limited beta access, available only to select researchers and developers.
- Gemini: Gemini caters to different needs of users and provides wider accessibility in comparison to GPT-4 with its three variants: Nano (basic), Pro (advanced), and Ultra (multi-modal).
How to Access Gemini AI Pro in Google Bard?
The rivalry between GPT-4 and Gemini will enhance the spread of AI research. However, GPT-4 and Gemini both equally face ethical concerns regarding potential misuse, including the creation of deep fakes and discriminatory content. And these crucial risks can be turned down only with transparency and other responsible development practices.
Who is the Winner in Text, Audio, and Video Capabilities?
| Google Gemini vs OpenAI ChatGPT 4 | TEXT | ||||
| Capability | Benchmark | Description | Gemini Ultra (Winner) | GPT-4 |
| General | MMLU | Representation of questions in 57 subjects (incl. STEM, humanities, and others). | 90.0% | 86.4% |
| Reasoning | Big-Bench Hard | Diverse set of challenging tasks requiring multi-step reasoning. | 83.6% | 83.1% |
| DROP | Reading comprehension (F1 Score) | 82.4% | 80.9% | |
| HellaSwag | Commonsense reasoning for everyday tasks | 87.8% | 95.3% | |
| Math | GSM8K | Basic arithmetic manipulations (incl. Grade School math problems) | 94.4% | 92.0% |
| MATH | Challenging math problems (incl. algebra, geometry, pre-calculus, and others) | 53.2% | 52.9% | |
| Code | HumanEval | Python code generation | 74.4% | 67.0% |
| Natural2Code | Python code generation. New held out dataset HumanEval-like, not leaked on the web. | 74.9% | 73.9% | |
Beginning of Google’s Gemini Era: 10 amazing things Gemini can do
Table 1: The above table compares OpenAI GPT 4 and Google’s Gemini based on Text and different specifications. And the clear winner is Gemini Ultra.
| Google Gemini vs OpenAI ChatGPT 4 | MULTI-MODALITY | ||||
| Capability | Benchmark | Description | Gemini Ultra (Winner) | GPT-4V |
| Image | MMMU | Multi-discipline college-level reasoning problems | 59.4% | 56.8% |
| VQAv2 | Natural image understanding | 77.8% | 77.2% | |
| TextVQA | OCR on natural images | 82.3% | 78.0% | |
| DocVQA | Document understanding | 90.9% | 88.4% | |
| Infographic VQA | Infographic understanding | 80.3% | 75.1% | |
| MathVista | Mathematical reasoning in visual contexts | 53.0% | 49.9% | |
| Video | VATEX | English video captioning | 62.7% | 56.0% |
| Perception Test MCQA | Video question answering | 54.7% | 46.3% | |
| Audio | CoVoST 2 (21 languages) | Automatic speech translation(BLEU score) | 40.1 | 29.1 |
| FLEURS (62 languages) | Automatic speech recognition | 7.6% | 17.6% | |
Table 2: This table on Google Gemini and OpenAI GPT-4 based on different multi-modality specifications and the clear winner is Gemini.
Final Verdict
GPT-4 and Gemini, both are groundbreaking AI models with their strengths and limitations. The OpenAI chatbot excels in natural language whereas Gemini offers great versatility with its multi-modality feature. However, the comparison done between the two declares Gemini as the winner. The competition or the collaboration between the two giants surely promises a future where artificial intelligence is the real game changer.
