Table of Contents

1. Architecture Comparison
2. Understanding Large Contexts
3. Benchmark Comparisons
4. Overall Benchmark Analysis
5. Capabilities and Performance
6. Applications and Use Cases
7. Implications for the Future of AI
8. Use GPT-4 Turbo and Gemini 1.5 Pro with ChatLabs
9. Conclusion

As you might know, AI language models Google's Gemini 1.5 Pro and OpenAI's GPT-4 Turbo are on the frontline of the AI technology, changing the way we work with information and automate our tasks. This article looks at the differences between these models, focusing on their features, designs, and impacts.

Architecture Comparison

Gemini 1.5 Pro uses a Mixture-of-Experts (MoE) architecture that helps it handle complex tasks better. In contrast, GPT-4 Turbo has improved its transformer architecture to be more scalable and flexible. The design of each model greatly affects their performance and usability.

Understanding Large Contexts

A key feature of Gemini 1.5 Pro is its ability to work with up to 1 million tokens at a time, much more than GPT-4 Turbo's limit of 128,000 tokens. This lets Gemini 1.5 Pro process and understand large amounts of data more deeply.

In tests with big text datasets, Gemini 1.5 Pro can recall information perfectly up to 530,000 tokens. Its accuracy is still high at 99.7% for 1 million tokens and 99.2% for 10 million tokens. This shows Gemini 1.5 Pro's strong ability to find and remember details across long texts.

Benchmark Comparisons

To see the Gemini ChatGPT difference more clearly, we look at some benchmarks that compare both models in reasoning, understanding, and other skills.

General Reasoning and Understanding

| 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

Math and Logic Skills

| 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

Coding Skills

| 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

Understanding Images

| 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

Understanding Videos

| 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

Speech 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

Overall Benchmark Analysis

General Reasoning and Comprehension

Gemini 1.5 Pro does a bit better than GPT-4 Turbo in general reasoning and comprehension tasks. This shows its strong ability to understand varied data.

Mathematical Reasoning

In math problems, GPT-4 Turbo does slightly better than Gemini 1.5 Pro, showing it has a deeper grasp of complex math.

Code Generation

GPT-4 Turbo also leads in code generation tests, proving it can understand and write code more accurately—important for developers.

Image Understanding

GPT-4 Turbo is better at understanding images, showing advanced skills in reading and responding to visual data.

Video Understanding

Gemini 1.5 Pro outdoes GPT-4 Turbo in understanding video content, good at analyzing and creating content from videos.

Audio Processing

Gemini 1.5 Pro is also ahead in audio processing, far surpassing GPT-4 Turbo. It shows a strong ability to understand and translate spoken language.

Capabilities and Performance

Both GPT-4 Turbo and Gemini 1.5 Pro are impressive but excel in different areas.

GPT-4 Turbo excels in text-based tasks, offering detailed and context-aware text creation, which makes it ideal for creative writing, coding help, and solving complex problems. Its language models are finely tuned to give more precise and relevant answers, making it a top choice for professionals and creatives.

Gemini 1.5 Pro shines in understanding and creating content across multiple formats. Its ability to keep coherence over long content and different types of data is groundbreaking. This makes Gemini 1.5 Pro especially useful in education, where it can offer explanations and tutorials that include text, diagrams, and videos for a fuller learning experience.

Applications and Use Cases

The uses for GPT-4 Turbo and Gemini 1.5 Pro are broad and diverse, reflecting their unique strengths.

GPT-4 Turbo is used in content creation, customer service bots, and as a helper in coding and technical writing. Its ability to generate text quickly and accurately helps speed up work processes and improve the quality of results.

Gemini 1.5 Pro is used in more complex areas, like educational platforms that combine different types of content, translation services that need to understand cultural differences, and in researching large amounts of data in various formats.

Is Gemini 1.5 Pro better than GPT-4 Turbo?

Whether Gemini 1.5 Pro is better than GPT-4 Turbo depends on what you need. Gemini 1.5 Pro is great for big data and complex information, perfect for tasks that need deep insights into large data sets. On the other hand, GPT-4 Turbo is excellent at writing code, understanding images, and precise tasks in language and visual understanding. Both models are impressive, but their best uses depend on the job’s specific requirements.

Implications for the Future of AI

The progress shown by GPT-4 Turbo and Gemini 1.5 Pro demonstrates the fast advancement of AI and its better understanding of human language and communication. These models not only expand the limits of what AI can do today but also open up new possibilities for future research and uses.

The ability of Gemini 1.5 Pro to work with multiple types of information points to a future where AI can effortlessly interact with all forms of data, removing barriers between content types and making information more accessible globally. Meanwhile, GPT-4 Turbo's advanced text-generation skills continue to improve how we create and communicate, automating everyday tasks and enabling new creative possibilities.

The whole AI-enthusiast community knows that OpenAI and Google AI are working hard on developing and training new LLMs like GPT-5 and Gemini 2.0 (or perhaps they'll release Gemini 1.5 Ultra first?). But it's not just these two companies; other competitors like Meta AI, Mistral, and Anthropic are also in the race. We at ChatLabs, along with other AI enthusiasts, are closely following the news and all the latest developments in the world of artificial intelligence. Even the companies themselves probably don't fully understand the limits of this AI race yet.

What Sam Altman, the CEO of OpenAI, has recently said about the near future of AI intelligence:

“GPT-4 is the dumbest model any of you will ever have to use again by a lot”

Use GPT-4 Turbo and Gemini 1.5 Pro with ChatLabs

ChatLabs offers a simple way to use Gemini 1.5 Pro and GPT-4 Turbo, along with 30 other AI models. Here's how you can quickly start using them:

1. Visit ChatLabs: Head over to the ChatLabs website and log in.

2. Choose Your Model: Open the dropdown menu at the top right and select either Gemini 1.5 Pro or GPT-4 Turbo.

3. Explore Their Power: Start using the model of your choice.

With ChatLabs, you don't need to pay twice for these paid models. By joining ChatLabs, you get access to not only Gemini 1.5 Pro and GPT-4 Turbo but also Meta AI LLaMA 3, Opus Claude 3, and many others under one subscription that costs only $20/month. Additionally, you can search the web, create images, explore the prompt library, and build custom AI assistants with any model of your choosing.

Also, recently we've added the Split Screen functionality that allows you pick two models simultaneously and compare results. You definitely should check this out!

Conclusion

In comparing Gemini 1.5 Pro and GPT-4 Turbo, it’s clear that both models are major advancements in AI. While GPT-4 Turbo keeps improving text-based AI, Gemini 1.5 Pro explores new areas with its multimodal and long-context understanding. Together, these models not only represent the current capabilities of AI technology but also suggest its future direction, promising AI tools that are more intuitive, efficient, and versatile in the coming years.

We hope that this comparison helps AI enthusiasts understand the different types of AI models and their unique strengths and weaknesses.