Why You Should Use Multiple Large Language Models

Popular Large Language Models

Large language models (LLMs) are beneficial tools for many areas of business operations, ranging from sales to design. Since each model has different characteristics, many companies find value in using several. Each model operates differently, so using multiple will give you the best results in every situation.

Some of the biggest LLMs today come from OpenAI, Google and Anthropic. OpenAI’s latest developments include GPT 4o, OpenAI o1, and o1-mini. Google recently released Gemini 2.0 Flash. Anthropic’s most advanced versions include Claude 3.5 Haiku and Sonnet.

Using a multi-model approach, you can employ the latest models from multiple developers, gaining the unique value each offers. TeamAI allows you to harness multiple LLMs in one place without switching back and forth between numerous platforms.

What are large language models?

LLMs are artificial intelligence tools capable of analyzing text or code and generating a response based on the input. This response sounds human-written, making it easy to understand. Many businesses find LLMs helpful in increasing efficiency in their everyday tasks.

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Why use multiple AI models?

Each large language model has particular capabilities, making it useful for specific situations. By using multiple, you build a comprehensive toolkit. Just as a builder collects multiple tools like screwdrivers, drills, and levels, business professionals will do better work by utilizing several LLMs.

Here are a few reasons to operate multiple models

Precision and performance

Each AI model has particular use cases. Some effectively create natural-sounding speech, while others excel at complex data analysis tasks. Utilizing multiple models enhances overall performance, enabling faster work and better results.

 Cost optimization

Some LLMs have robust capabilities that come with a high price. While these abilities benefit some tasks, you may overpay when using the LLM for simple work. By harnessing multiple models, you will handle your resources more thoughtfully.

Future-proofing

AI changes constantly, with new models released all the time. Use several models to stay ahead of the pace of change so you’ll never be limited to a single one.

Using multiple models also enables you to adapt as your business grows. You’ll always have the most effective tools, no matter how your work changes.

Risk mitigation

AI models may deliver biased or inaccurate results based on their training data. Using multiple will supply more reliable responses or confirm an answer provided by another platform.

Also, if a platform is down, you could receive an error message instead of a response. Access to multiple LLMs means you can switch between them if an outage occurs.

Comparing a few top LLMs: OpenAI, Gemini and Claude

Every LLM can fail or give inaccurate responses. These and other issues might lead you to look for a different AI model that suits your needs. Here’s a comparison of the latest models from OpenAI, Google, and Anthropic to help you determine which to choose for different tasks. These models are:

  • OpenAI o1 and o1-mini
    Gemini 2.0 Flash
    Claude 3.5 Sonnet and Haiku

Technical specification

Claude or Gemini will benefit those who value information recency the most, with information cutoffs in 2024. If you need a comprehensive output, OpenAI’s latest variant may be the best choice because it has very long output limits.

For queries requiring contextual knowledge, choose Gemini 2.0 Flash or Claude’s 3.5 models, which include the largest context windows.

Applications and use cases

Each LLM is built differently, leading to unique functionality. Here’s an overview of how they compare in a few key areas:

  • Natural language understanding: OpenAI’s latest versions have the best understanding and natural responses, followed by Claude and Gemini.
  • Code generation: Developers value accurate code generation from their AI models. In this area, OpenAI leads, while Gemini and Claude are only slightly behind.
  • Scientific understanding: Scientific understanding brings exceptional value in more complex fields. While none of these models has outstanding technical knowledge, OpenAI is still the best. Gemini and Claude lag more in this area.

Overall, Open AI o1 is the best LLM in many areas, but Claude 3.5 Sonnet is close behind. Each new version of these LLMs brings significant advancements in functionality. While OpenAI o1 may be a top overall choice today, one update from Anthropic, Google, or another LLM developer could take away its lead.

Differences remain in the best AI platform for business applications. OpenAI works best for sales, HR, and hiring teams. Marketing and design teams benefit from Gemini for data analysis and creative tasks. Anthropic’s AI works well for business administration with safe and ethical designs.

Learn More About the Riskiest AI Model

Access and pricing

Price is often a significant deciding factor in AI model usage, so here’s a brief comparison:

  • Gemini: Flash 2.0 is still experimental, so Google doesn’t have pricing available. The earlier 1.5 Flash model has a free tier and paid versions of the API, which are much cheaper than other AI models.
  • OpenAI: The o1 and o1-mini versions currently do not include free options. OpenAI is the costliest of the three LLMs.
  • Claude: Like OpenAI, the latest Claude adaptations do not have free versions. Claude 3.5 versions include midrange pricing between that of Gemini and OpenAI.

Get multiple AI models on one platform

Each AI model on the market today has unique selling points that make it a better choice for each use case, whether for functionality or cost-effectiveness. As models evolve, another one may become the better choice tomorrow.

With TeamAI, you get all the best LLMs in one convenient platform. Our multi-model capabilities include high-quality options like OpenAI o1, Gemini 1.5 Flash, and Claude 3.5 Sonnet. We add the latest versions as they become available.

TeamAI also helps you automatically narrow down the best option with our Adaptive models. Based on your interaction, our platform chooses the most effective LLM so you can spend less time researching the best AI model and more time working.

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