Recognizing the importance of Gemini Pro having a similar level of capability as GPT-4V is crucial when emphasizing the impressive abilities of GPT-4V in benchmark testing scenarios.

Although Google has released its competitor Gemini Pro, there are claims that it has not met the expectations of reaching the same level as OpenAI's GPT-4. The discussion on which one is superior between Gemini and GPT-4V is still ongoing. While many opinions lean towards GPT-4V, it is important to acknowledge that Google's Gemini Pro is not far behind.

A recent research paper titled "Gemini Pro vs GPT-4V: A Preliminary Comparison and Integration of Visual-Language Models through Qualitative Cases" by researchers from Hong Kong and Shanghai compared the visual capabilities of the two models, yielding interesting results.

Gemini demonstrates outstanding performance in specific reasoning tasks, particularly in logical reasoning and factual accuracy. This suggests that Gemini is a suitable choice for tasks that require strong comprehension and analytical abilities. Therefore, it is necessary to recognize the strengths of both models.

GPT-4V vs Gemini

The study indicates that GPT-4V exhibits precision and conciseness in its responses, showcasing its significant advantage in contextual understanding. On the other hand, Gemini Pro excels in providing detailed and extensive answers, incorporating relevant images and links, highlighting its ability in generating rich content. Both models demonstrate their capabilities in industrial application scenarios, albeit with slight differences.

Gemini is limited to inputting a single image at a time, while GPT-4V (visual) can process multiple images continuously. Although both models demonstrate comparable proficiency in basic image recognition tasks, GPT-4V excels in real-world object localization, particularly in abstract image localization.

Both models perform well in extracting text from images, but Gemini surpasses GPT-4V in reading tabular information. Both models exhibit common-sense understanding abilities in advanced reasoning tasks, with Gemini slightly lagging behind in certain intelligence tests. It is worth noting that both models excel in emotional understanding and expression.

The superiority of GPT-4 and Gemini depends on specific task requirements. GPT-4 is favored in multimodal and prompt-based tasks, while Gemini is used for code-related efforts or scenarios where computational efficiency is prioritized.

Has Gemini Passed the Test?

When Google showcased the multimodal capabilities of Gemini Ultra through a demonstration video, everyone was amazed. However, it was later discovered that the video was staged.

The six-minute video uploaded by Google guided us through various examples, where Gemini engaged in fluent conversations, answered queries, and participated in activities like playing rock-paper-scissors with humans.

In the demonstration, everything appeared to be happening in real-time, and Gemini could respond quickly. In contrast, the description of the YouTube video stated, "For the purposes of this demo, latency has been reduced, and Gemini's output has been simplified for brevity." However, Gemini Pro's performance is not as depicted.

Recognizing the crucial advantages of Gemini Pro parallel to the impressive capabilities of GPT-4V in benchmark testing scenarios is important. Gemini stands out with its ability to provide concise and direct responses, offering a clear advantage in tasks that require factual accuracy and quick information retrieval.

Gemini excels in code-related tasks, demonstrating skilled abilities in code generation, understanding, translation, and error detection, making it the preferred choice for developers. It also possesses general reasoning capabilities and is acclaimed for its scalability and efficiency.

However, both models have weaknesses, including spatial awareness, unreliable OCR, inconsistency in reasoning, and sensitivity to prompts. Although Gemini Ultra will be released next year, if practicality, efficiency, and broader accessibility are prioritized, Pro may be the better choice.