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Gemini Pro vs GPT 4, which one is better? We will compare them in various aspects such as general reasoning, text comprehension, mathematical reasoning, code generation, image understanding, video comprehension, audio processing, etc., to draw a conclusion.
Gemini 1.5 Pro, compared to Gemini 1.0, although only 0.5 versions apart, exhibits a significant performance improvement, even reaching the capabilities of Ultra 1.0 version. So, keep reading, let's explore which is better.
What Are Core Innovations of Gemini 1.5 Pro
Google Gemini offers three versions: Ultra, Pro, and Nano. If Gemini Pro can only match ChatGPT 3.5, then Gemini 1.5 Pro has already reached the level of ChatGPT 4, with token count surpassing ChatGPT 4's by 8 times.
Core Innovation 1: Gemini 1.5 Pro boasts a token count of 1 million. ChatGPT 4 has a token count of 128,000, and Cloud has 200,000.
Tips
Tokens can be simplified as the number of characters processed by AICore Innovation 2: Gemini 1.5 Pro utilizes Mixture-of-Experts (MoE) architecture for increased efficiency, allowing it to handle complex tasks more adeptly. GPT-4 Turbo continues to refine its transformer architecture, focusing on scalability and adaptability.
Benchmark Performance: Gemini 1.5 Pro vs GPT-4 Turbo
Price is a key concern. Let's compare the prices first.
Gemini Cost
GPT-4 Cost
General Reasoning and Comprehension
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| MMLU | 81.9% | 80.48% | Multitask Language Understanding |
| Big-Bench Hard | 84.0% | 83.90% | Multi-step reasoning tasks |
| DROP | 78.9% | 83% | Reading comprehension |
| HellaSwag | 92.5% | 96% | Commonsense reasoning for everyday tasks |
General Reasoning and Comprehension: Gemini Better Than GPT-4 in general reasoning and comprehension tasks, showcasing its strong understanding across a variety of datasets.
Mathematical Reasoning
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| GSM8K | 91.7% | 92.95% | Basic arithmetic and Grade School math problems |
| MATH | 58.5% | 54% | Advanced math problems |
In mathematical reasoning, GPT-4 Turbo excels over Gemini 1.5 Pro in solving complex problems, reflecting its intricate understanding of advanced mathematical concepts.
Code Generation
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| HumanEval | 71.9% | 73.17% | Python code generation |
| Natural2Code | 77.7% | 75% | Python code generation, new dataset |
GPT-4 Turbo leads in code generation benchmarks (less than 5%), showcasing its ability to understand and generate code more accurately, a crucial aspect for developers.
Image Understanding
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| VQAv2 | 73.2% | 77.2% | Natural image understanding |
| TextVQA | 73.5% | 78.0% | OCR on natural images |
| DocVQA | 86.5% | 88.4% | Document understanding |
| MMMU | 58.5% | 56.8% | Multi-discipline reasoning problems |
GPT-4 Turbo demonstrates superior performance in image understanding tasks, especially in TextVQA, Gpt4 higher 4.5% than Gemni, indicating its advanced capabilities in interpreting and responding to visual information.
Video Understanding
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| VATEX | 63.0% | 56.0% | English video captioning |
| Perception Test MCQA | 56.2% | 46.3% | Video question answering |
Gemini 1.5 Pro surpasses GPT-4 Turbo in video understanding, showcasing its strength in analyzing and generating content from video data.
Audio Processing
| Benchmark | Gemini 1.5 Turbo | GPT-4 Turbo | Description |
|---|---|---|---|
| CoVoST 2 | 40.1% | 29.1% | Automatic speech translation |
| FLEURS | 6.6% | 17.6% | Automatic speech recognition |
Gemini 1.5 Pro shows remarkable progress in audio processing (higher about 10%), significantly outperforming GPT-4 Turbo, highlighting its superior ability to understand and translate spoken language.
If you want to check Gemini 1.5 pro user cases, just check Mckay Wrigley-AI stuff expert's twitter.
Is Gemini 1.5 Pro better than GPT-4 Turbo?
In the comparison above, Gemini Pro vs GPT-4, which is better? I have to say, Turbo and Gemini 1.5 Pro showcase their respective strengths.
GPT-4 Turbo's advantage lies in its deep semantic understanding, making it suitable for applications such as content creation, customer service chatbots, and assisting in coding and technical writing. Its text generation capabilities significantly streamline workflows and enhance output quality.
Google Gemini 1.5 Pro is better suited for more complex and nuanced tasks, such as cross-modal education platforms, multilingual translation services requiring an understanding of cultural nuances, and research analysis involving vast amounts of data in different formats.
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