Which LLM Should You Use for Your Business? [Pros and Cons]

By Nathan Lands

Download Now: 100 ChatGPT Prompts for Marketers [Free Guide]

Choosing the right large language model can feel overwhelming with so many options out there, especially if you’re not exactly living and breathing AI

But as we’ve worked through each one, we’ve gotten a real sense of what they’re good at (and where they fall short).

So, let’s talk about what to use, when.

ChatGPT & OpenAI-o1: The Reliable All-Rounders

Let’s start with ChatGPT and OpenAI-o1.

OpenAI’s latest model is impressive, and people are hyped about its “reasoning” abilities — basically, it’s designed to tackle more logic-heavy stuff alongside the creative tasks that ChatGPT has always been great at.

Why We Like It

  • Big on Logic: OpenAI-o1 uses something called chain-of-thought reasoning. In simpler terms, it’s better at walking through complex problems step by step.
  • Custom GPTs: This feature lets us create models that remember instructions specific to our work. If we need it to think like a project manager or a social media assistant, we can set that up with just a few clicks.

Where It Falls Short

  • Overkill for Basic Stuff: Most of the time, GPT-4 can get the job done. OpenAI-o1 shines with complex tasks, but you might not notice a huge difference for more straightforward use cases.
  • Not a Quantum Leap: The big improvements are behind the scenes. If you’re expecting to see massive changes in day-to-day use, you might be underwhelmed.

When to Use It: Anything involving more complex logic, or when you need tailored responses, like for coding or detailed content editing.

Claude by Anthropic: The Summarizer & Storytelling Champ

Claude is our go-to for summarizing and making sense of long documents.

It’s also fantastic at storytelling, which is helpful if you’re in content creation or need to simplify dense information.

What Makes It Stand Out

  • Document Summarization: Claude is amazing at boiling down information, so it’s perfect when we’ve got huge documents m and need a quick summary.
  • User-Friendly Customization: Anthropic’s Projects feature lets us set up custom instructions for repeat tasks. It feels more intuitive than ChatGPT’s setup.

What to Watch Out For

  • File Size Limits: If you upload a big file (over 20 MB), Claude sometimes throws a fit. We usually compress PDFs to work around this, but it’s worth knowing.

Best Use Case: Summarizing or creating content when you need a straightforward, reliable tool that’s easy to navigate.

Google Gemini: The King of Context (and Podcasting)

Google’s Gemini feels like it’s in a league of its own when it comes to handling tons of data.

We love that it has a massive context window, meaning it can hold and process entire books if needed. Plus, it has a quirky new tool called Notebook LM that turns docs into a mini-podcast for you.

Why It’s Cool

  • Handles Huge Data Loads: With a 10-million-word limit, Gemini can keep track of massive documents all at once, so we can load entire libraries if we need …read more

    Source:: HubSpot Blog

          

    Aaron
    Author: Aaron

Related Articles