Blogs & Articles
Claude 3 vs GPT-4 vs Gemini Blitzkrieg, from Coding Skills to Price!

Claude 3 vs GPT-4 vs Gemini Blitzkrieg, from Coding Skills to Price!

Antropic's Claude 3, threatens Google's Gemini and OpenAI's GPT with its powerful OCR and image processing. Let's compare the three models of Claude3, Gemini, and GPT-4 and tell you about the features, coding skills, and pricing of each model.

In this article, we’ll compare Antropic's Claude 3, Google's Gemini Ultra, and OpenAI's GPT-4, all of which were released recently. Is OpenAI and ChatGPT losing their advantage?

1. Antropic claims that "Claude 3 has surpassed GPT-4"!

Anthropic’s Claude 3 series of AI models is designed to meet the diverse needs of enterprise customers through a balance of intelligence, speed, and cost-effectiveness. The lineup includes the high-end Opus, the mid-range Sonnet, and the upcoming economical model Haiku.

Antropic CEO Amodei explained that Opus outperforms top AI models such as GPT-4, GPT-3.5, and Gemini Ultra in various benchmarks. It is also said to rank first in academic benchmarks such as GSM-8k for mathematical reasoning and MMLU for expert-level knowledge.

If you look at the chart above, you can see that the Claude 3 Haiku model is better than GPT-4V or Gemini.
Claude 3 has multimodal input, so you can understand text, images, PDFs, and more. It can process more data than GPT-4 (about 150,000 words at a time (200k context window)), and it also comes with improved memory memory with over 99% accuracy.

Let's summarize the features of Claude 3:

2. Claude 3 vs GPT-4 vs Gemini, let's compare!

1) Comparison of the strengths and limitations of the three models

In response to GPT-4, which has shown the best performance, Claude 3 touts its strengths in OCR and visual data interpretation. Gemini had the upper hand before Claude 3 and now has to compete with the Antrhopic LLM.

Visual image performance is becoming increasingly important because when enterprises deploy AI, they expect it to interpret complex tables, charts, diagrams, and more.

2) Comparison of Coding Performance of the Three Models

It's becoming more and more commonplace to use LLMs, including “co-pilots”, in coding. When it comes to coding, it's important to get accurate results, but it's also important to have a good coding style. Understanding the details of programming tasks and being able to execute them in context is a great help for developers.

- Haiku, Sonnet, and Opus tiering allows users to choose the model that best suits their specific needs, from simple queries to complex analytics.

3) Cost and accessibility

3. Which LLM should I use now?

Claude 3 can have multiple inputs (images, etc.), but it does not have multiple outputs. This means that it doesn't generate images instead of text. This may be a reflection of the fact that there were errors and hallucinations in the creation of images in Gemini not long ago and the company wanting to play it safe.

However, as mentioned earlier, it is increasingly important to import and interpret increasingly complex tables, charts, and diagrams from PDFs in the use of AI in enterprises, and to produce advanced results. It is particularly interesting to observe the competition between Gemini and Claude 3, as both models excel in OCR Capabilities. 

B2B AI solutions are evolving to combine LLMs in the workplace to solve problems and produce sophisticated and accurate results.
The art of finding answers in complex tables of corporate documents is an area where Allganize is doing better than OpenAI's retriever.

Allganize’s Ali LLM app market, which allows you to decide which LLMs to use to suit your company's work and which includes more than 100 work automation apps, is also rapidly evolving towards becoming a full-stack AI option for enterprises.

If you're curious about AI-native workflow tools, contact Allganize!

Learn more about LLM apps for businesses you can start using today