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Didn’t Discover!!
What You're Looking For?
By
Aman Bhati
7 min
Dharmesh Shah, the Founder and CTO at HubSpot, has said since IN’24 that the future is near where humans and AI will work in one team.
Today, as customers demand quality and AI-speed together, leaders are experimenting with different AI LLMs that can fulfill their requirements. But this may turn out to be time-consuming till they find a suitable one.
So, we have narrowed down the list to the seven best LLM models like GPT-4o, LLaMA 3, Inflection AI, and more. Plus, as a bonus tip, we’ve added a list of free LLM models at the end that can be used for an unlimited time for different business processes.
Let’s dive in!
Large Language Models (LLMs) are deep learning AI models fed with vast text data to understand and generate human-like outputs.
They are built on transformer architectures and are trained in stages (small data chunks), including pre-training on general language patterns and fine-tuning on specific datasets.
Based on your goals, feed the SEO focused LLM with a relevant dataset and train it to perform as per your requirements. Models like Claude Sonnet 3.7, Gemini, and others generally excel in content generation, query answering, audio/video creation, advanced coding, reasoning, and more.
While powerful, LLMs can be resource-intensive to train and may require careful consideration of their outputs.
Now, let’s see some must-have factors that make a model worth your time and investment.
Choosing the right LLM isn’t just about picking the most popular one. Here are a few essentials that define a high-performing model:
With this in mind, let’s explore the best LLM models we’ve curated that might help you provide unique AI solutions to your clients.
LLMs in 2025 are the early chatbots that used to reply to us in plain text a few years ago. But now they can interpret tone and emotion and understand PDFs, images, and videos all at once.
Let’s look at the latest and best LLM Models that we’ve picked for you:
With existing branching logic, HubSpot AI chatbots can ask context-aware questions and qualify leads based on their responses. This automated qualification process ensures your sales team only gets high-intent contacts.
The first paradigm increases its accuracy and intuition (also seen in GPT‑3.5, GPT‑4). While the second one lets it think and generate thoughts before just responding, so that it can tackle complex STEM or logic problems well (also seen in OpenAI o1 and OpenAI o3‑mini).
Claude Sonnet 4 is an upgrade to Sonnet 3.7 and delivers superior coding and reasoning, and responds quite precisely to your instructions. Meanwhile, Opus 4 is one of the best coding LLM models that has sustained performance on complex and long-running tasks.
In the Claude 4 announcement, the team mentioned that:
“Cursor calls it (Opus 4) state-of-the-art for coding and a leap forward in complex codebase understanding.”
“GitHub says Claude Sonnet 4 soars in agentic scenarios and will introduce it as the model powering the new coding agent in GitHub Copilot.”
Gemini 2.5 is an advanced iteration of Google DeepMind’s Gemini series. Known for its impressive multimodal capabilities and lightning-fast processing, this model integrates easily across Google’s ecosystem.
The model combines natural language understanding and reasoning tasks, with the ability to simultaneously process and generate text, images, and audio.
LLaMA (Large Language Model Meta AI) 4 is Meta’s latest open-weight model that offers speed, performance, strong research, and enterprise use all in one.
This model provides additional success to LLaMA 3 with its improved reasoning and factual accuracy. It’s especially popular among developers and researchers due to its openness, allowing full customization and on-premise deployment.
Inflection Pi is an AI model developed by Inflection AI, designed with one core goal: deep and emotionally intelligent conversations. It focuses on being your supportive companion who is safe to talk to.
In 2025, Pi has evolved with improved memory, contextual continuity, and a more natural tone, making it ideal for personal coaching, wellness, and casual interaction.
xAI released Grok 4 on July 9, 2025, positioning it as its most advanced AI model. It’s trained on the powerful Colossus supercomputer and offers improved reasoning, code understanding, multimodal handling (text and image), and real-time web search.
It’s available in two versions:
Grok 4 Generalist for broad conversational and reasoning tasks
Grok 4 Heavy is a multi-agent architecture that solves complex problems by running multiple AI agents and comparing their solutions.
Cohere’s Command A is a 111-billion-parameter, open‑weight model optimized for enterprise-scale applications. It also supports agentic workflows, multilingual tasks, and Retrieval‑Augmented Generation (RAG), all with superb efficiency.
These are the 7 best LLM Models that you can use to give an AI upgrade to your traditional services. Other than that, as we promised, find below three of the most popular free LLMs that help unlimited time with your day-to-day tasks.
While some of the above may be partially free for certain limits, here are the completely free LLMs that you can use for different business purposes:
Mistral AI has rapidly emerged as a powerhouse in the open-source LLM space, delivering models that rival (and sometimes outperform) closed-source giants.
They are completely free, Apache 2.0 licensed, unrestricted for commercial use, and designed to be lean, fast, and highly adaptable for real-world deployment.
DBRX is a powerful open-weight LLM released by Databricks, a leader in data and AI platforms. It’s a Mixture-of-Experts (MoE) model with 132 billion parameters, trained to be efficient, modular, and highly accurate across a wide range of natural language tasks.
BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) is a landmark open-source LLM developed by the BigScience research collective, coordinated by Hugging Face and over 1,000 AI researchers globally.
Choosing the right LLM depends on what your business needs: speed, multilingual support, cost-efficiency, or full control through open-source models. While GPT-4.5 and Claude Sonnet 4 offer top-tier performance, models like Mistral and BLOOM are excellent free alternatives for businesses that want more flexibility.
At TRooInbound, we may not build LLMs, but we help businesses create smarter, faster, and more scalable digital systems. From HubSpot CRM setup and automation to custom websites and marketing workflows, we ensure your tech stack is ready to grow with the future of AI.
Here you'll find the answers to all of your questions.
They analyze and predict text using patterns learned from massive datasets. In general, they generate human-like responses based on your input.
LLMs can save time, boost productivity, automate content, improve customer support, and handle tasks like writing, summarizing, and translating.
Not always. Many platforms offer ready-to-use tools, but you might need some developer support for custom setups or integrations.
Yes! Many models, like BLOOM and GPT, are trained on dozens of languages and work well for international audiences.
Most LLMs offer free demos or trial access through platforms like ChatGPT, Claude, Hugging Face, or Google’s Gemini, great for hands-on testing.
Dive into other interesting, well-researched, and nicely structured blog posts
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