Which llm are you going to use for your business? [Pros and Cons]

Choosing the right large language model can feel overwhelming with so many options out there, especially if you don’t exactly live and pull AI

But since we have worked through each one, we have got a real sense of what they are good at (and where they fall short).

So let’s talk about what we need, when.

Chatgpt & Openai-O1: The Reliable All Rounds

Let’s start with Chatgpt and Openai-O1.

Openai’s latest model is impressive, and people are hyped about its “reasoning”-most importantly, it is designed to tackle more logic-heavy things along with the creative tasks that Chatgpt has always been great for.

Why do we like it

• Large on logic: Openai-O1 uses something called reasoning chain. On simpler terms, it is better to go through complex problems step by step.
• Custom GPTs: This feature allows us to create models that remember instructions that are specific to our work. If we need it to think as a project manager or a social media assistant, we can set it with only a few clicks.

Where it comes up short

• Overkill to basic things: Most of the time GPT-4 can get the job done. Openai-O1 shines with complex tasks, but you may not notice a huge difference for more straightforward use cases.
• Not a quantum leap: The big improvements are behind the scenes. If you expect to see massive changes in daily use, you may be underestimated.

When to use it: Anything that involves more complex logic or when you need tailor -made answers, such as for coding or detailed content editing.

Claude by Anthropic: Summarizer & Storytelling Champ

Claude is our go-to to summarize and make sense of long documents.

It is also great for storytelling, which is useful if you are in content creating or need to simplify close information.

What makes it stand out

• Document Summary: Claude is great for cooking information, so it’s perfect when we have huge documents M and need a quick summary.
• User -friendly customization: Anthropic’s Projects feature allows us to create customized instructions for repeated tasks. It feels more intuitive than chatgpts setup.

What to take care of

• File size limits: If you upload a large 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: Summary or content creation when you need a straightforward, reliable tool that is easy to navigate.

Google Gemini: The King of Context (and Podcasting)

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

We love that it has a massive context window, which means it can contain and process whole books if necessary. Plus, it has a quirky new tool called Notebook LM that transforms documents into a mini-podcast into you.

Why it’s cool

• Handles huge data loadings: With a limit of 10 million words, Gemini can keep track of massive documents at once, so we can load whole libraries if we need it.
• Notebook LM: This feature actually transforms documents into audio listings in a conversation podcast format. It’s a great way to get the core of something while multitasking.

Disadvantages

• Limited adaptation: While it has “pearls” (Google’s response to custom GPTs), they are rather basic. You cannot connect it to other tools or APIs that you can with chatgpt or claude.

When to go to Gemini: When you need to process a mountain of data at once or if you are in the mood for a sound overview while doing something else.

Llama of meta: privacy and flexibility

Llama is not necessarily the most advanced, but because it is open source, it is our go-to when privacy is a problem.

Unlike the others, Llama can run offline on your computer, so it doesn’t share data with a large tech company.

Why would i recommend that

• Keeping things private: As Llama is running locally, we can be sure that our data remains from the Internet.
• Very customizable: Llama’s open source, which means we (or any developer) can change it to unique needs. We don’t do much, but it’s nice to know it’s an option.

Weak spots

• Not the most powerful: It’s not as good as claude or chatgpt to high quality content or problem solving. But in case of basic use it is solid.

When it makes sense to use: At any time privacy is the key, as with sensitive internal data or when you just need a quick local solution.

BROK OF XAI: Twitter Data & Realistic Image Generation

GROK is a fun – it’s a native on social media, integrated with X (formerly Twitter).

It is a decent model and comes with a strong image generator, Flux One that can make super -realistic visuals. But where it really shines, Twitter data draws into real time.

Why we use it

• Live Twitter -Insight: GROK lets us see what tends to or analyze popular Twitter profiles on site.
• Image generation: FLUX You can create realistic images of people, scenes and more with few limits on topics.

Disadvantages

• Niche use cases: It is great for Twitter data and pictures, but does not stand out in general tasks such as a summary or storytelling.

Ideal use: Research on social media and generating realistic visuals for content.

Confusion: A scientist’s best friend

Confusion is not technically an LLM in the traditional sense. Instead, it is an AI-driven research tool that draws information from the Internet and then uses a model to organize it.

It’s our go-to when I need quick, accurate information or other opinion on a topic.

What makes it indispensable

• Web Search Functions: Confusion searches the web and summarizes the content, making it perfect for research -heavy tasks.
• Choose your model: We can use GPT-4, Claude or even Openai-O1 as our “engine” in confusion, so we always get the model that suits our needs.

Warnings

• Double check for accuracy: Sometimes it blends similar names or pulls out of date info, so it is good to cross-checks important facts.

When I use confusion: Any time I am in “Research Mode” or need updated insight into blog posts, presentations or meetings.

Finding the right LLM can be as simple as matching a tool’s strengths to your needs.

Our advice? Try a few and don’t hesitate to mix and match to get the best results.