Anthropic has been offering the Claude 3.5 Sonnet model for a while now, but it was not complete. However, on Oct 22, 2024, Anthropic introduced the Claude 3.5 LLM family, offering its improved Claude 3.5 Sonnet and brand-new Claude 3.5 Haiku models as AI chatbots and APIs. Both models exceed industry standards and offer advanced output generation speed and quality to their users. What’s more, both Claude 3.5 Sonnet and Claude 3.5 Haiku models managed to outperform their rivals GPT-4o and GPT-4o Mini models. If you’re wondering about the differences between Claude 3.5 Sonnet & Haiku and GPT-4o models, we’ve got you covered!

In this article, we will compare Claude 3.5 Sonnet & Haiku and OpenAI’s GPT-4o models.

Ready?

Let’s dive in!

TL; DR

  • Anthropic announced its latest LLM family, Claude 3.5, on October 22, 2024.
  • The Claude 3.5 Sonnet & Haiku models come with a computer-use feature that is not yet in the experimental stage.
  • You can access the Claude 3.5 Sonnet and Haiku models via Anthropic's AI chatbot or API.
  • The Claude 3.5 Sonnet model has higher performance than the GPT-4 model in coding and reasoning tasks.
  • The Claude 3.5 Haiku model offers slightly higher performance than the GPT-4 Mini model.
  • If you are looking for an AI assistant that can integrate both the Claude 3.5 Sonnet and Haiku models, as well as the GPT-4 model, into your workflow, TextCortex is the way to go.

What is Claude 3.5 Sonnet & Haiku?

Claude 3.5 Sonnet & Haiku models are large language models developed by Anthropic and aim to advance industry standards. While the Claude 3.5 Sonnet model offers an upgrade of the version that has been actively used for a while, the Claude 3.5 Haiku model offers users a new and advanced small AI model. Both models have more advantageous and disadvantageous aspects compared to their competitors.

What is Claude 3.5 Sonnet & Haiku?

What’s New in the Claude 3.5 Family?

Claude 3.5 LLM family offers advanced reasoning, coding, and output generation speed, but its newest feature is computer use. Claude 3.5 LLM family's computer use is a software that aims to use computers like humans, with functions such as clicking buttons, moving a cursor, and typing text. Anthropic's computer use is publicly available, but it is still in the experimental stage. Organizations such as Canva, Asana, Cognition, DoorDash, Replit, and The Browser Company are among the companies that are testing the computer use feature and trying to integrate it into their workflows.

Claude 3.5 Haiku & Sonnet Pricing

You can use Claude 3.5 Haiku and Sonnet models as API or via AI chatbot. To use Claude 3.5 Haiku & Sonnet models via AI chatbot, you need to have the Claude Pro plan which charges $20 monthly. To use Claude 3.5 Sonnet & Haiku models as API, you need to pay the following fees.

Claude 3.5 Sonnet

  • Input: $3 / Million Tokens
  • Output: $15 / Million Tokens

Claude 3.5 Haiku

  • Input: $1 / Million Tokens
  • Output: $5 / Million Tokens
Claude 3.5 Haiku & Sonnet Pricing

How to Access Claude 3.5 Sonnet & Haiku?

Claude 3.5 Sonnet and Haiku models offer advanced AI generation features to its users, and it is quite easy to access them. To use the Claude 3.5 LLM family via an AI chatbot, you can experience Anthropic's official AI chatbot. You can also use the Claude 3.5 Sonnet & Haiku models to develop your own native AI chatbot using its API.

how to access claude

If you want to integrate Claude 3.5 Sonnet & Haiku models into your enterprise and use them to streamline your workflow, you can access them via ZenoChat. ZenoChat is an enterprise AI co-pilot that offers its users multiple LLMs including Claude 3.5 Sonnet & Haiku.

Claude 3.5 Sonnet & Haiku vs OpenAI’s GPT-4o

Now that we have reviewed the Claude 3.5 Sonnet & Haiku models and explained how you can access them, it is time to compare the Claude 3.5 LLM family with the most popular LLM, GPT-4o. Claude 3.5 Sonnet & Haiku and GPT-4o models are LLMs that offer different advantages and use cases. Let’s examine the differences between GPT-4o and Claude 3.5 Sonnet & Haiku.

Reasoning

Claude 3.5 Sonnet model scored 65.0% in the GPQA benchmark designed to measure graduate-level reasoning. The GPT-4o model scored 53.4% ​​in the same benchmark. When it comes to statistics, it is possible to say that the Claude 3.5 Sonnet model outperforms the GPT-4o model in reasoning.

Claude 3.5 Sonnet & Haiku Reasoning

In the same benchmark, the Claude 3.5 Haiku model has a score of 41.6%, while the GPT-4o Mini model has a score of 40.2%. The Claude 3.5 Haiku model managed to outperform its rival, the GPT-4o Mini model, in reasoning.

Coding

When it comes to coding, the Claude 3.5 Sonnet model has a score of 93.7% in the HumanEval benchmark designed to measure the performance of LLMs in coding tests. The GPT-4o model has a score of 90.2% in the same benchmark. When we evaluate the statistics, it is possible to say that the Claude 3.5 Sonnet model offers more advanced coding performance than the GPT-4o model.

Claude 3.5 Sonnet & Haiku Coding

In the HumanEval benchmark, the Claude 3.5 Haiku model has a score of 88.1%, while the GPT-4o Mini model has a score of 87.2%. In other words, the Claude 3.5 Haiku model is slightly better than the GPT-4o Mini model in coding performance.

Context Window

Context Window is a parameter that indicates how much data an LLM can process at the same time. The larger the context window of an LLM, the more inputs it can allow and process at the same time. Both Claude 3.5 Sonnet and Claude 3.5 Haiku models provide users with a 200K token context window, which is approximately equal to 150,000 words.

Claude 3.5 Sonnet & Haiku Context Window

A Better Alternative for Enterprises: TextCortex

If you are looking for an AI assistant that will give you access to the Claude 3.5 Sonnet and Claude 3.5 Haiku models and help you integrate them into your custom workflow, then TextCortex is designed for you.

TextCortex is an AI co-pilot that allows users to utilize multiple LLMs for specific tasks, offering features such as web search, and internal data integration (knowledge bases). You can perform tasks such as code and text generation, Q&A, and data analysis using Claude 3.5 Sonnet & Haiku models via TextCortex.

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With TextCortex, you can process your internal data using Claude 3.5 Sonnet & Haiku models. TextCortex's knowledge bases allow you to upload your internal data to TextCortex and generate outputs such as enterprise documents using your data. For example, using TextCortex's knowledge bases, you can upload your project documents to TextCortex and generate documents such as progress reports by automating them. Moreover, TextCortex will help you boost the individual performance of your employees. See the results from one of our case studies:

  • TextCortex was implemented for KemĂ©ny Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
  • AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
  • Employee confidence in using and working with AI increased by 60%.‍
  • The implementation results in a 28x return on investment (ROI).

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