Large language models (LLMs) are advanced artificial intelligence models designed to generate and understand human language. They use deep learning techniques, particularly neural networks with billions of parameters, to predict the next word or phrase. This enables LLMs to produce coherent and contextually relevant text based on input data. LLMs rely on transformer architectures, which help them process large amounts of text data efficiently and recognize complex patterns.
Some LLMs go beyond text and work with image, audio, and video data. These models train on multimodal datasets, allowing them to generate and process content across various media types.
Here is the list of Top Large Language Models (LLMs)
| Model Name | Developer | Release Date | Context Window | Modalities |
| o1 | OpenAI | December 5, 2024 | 200K tokens | Text, Image |
| Claude 3.5 Sonnet | Anthropic | October 22, 2024 | 200K tokens | Text |
| Llama 3.3 70B Instruct | Meta | December 6, 2024 | 128K tokens | Text |
| Grok-2 | xAI | August 13, 2024 | 128K tokens | Text, Image |
| Gemini 2.0 Flash | December 11, 2024 | 1M tokens | Text, Image, Audio, Video | |
| Deepseek V3 | Deepseek | January 20, 2025 | 128K tokens | Text |
1. o1
OpenAI’s o1 models are a new generation of AI that prioritize reasoning. They excel in tasks like scientific problem-solving, coding, and complex math, demonstrating a deeper understanding and problem-solving ability compared to previous models. This “thinking” approach has the potential to revolutionize fields like research, software development, and education.
| Developer | OpenAI |
| Release Date | December 5, 2024 |
| Open Source | No |
| Input Context Window | 200K tokens |
| Maximum Output Tokens | 100K tokens |
| Knowledge Cut-off Date | October 2023 |
| Modalities | Text, Image |
2. Claude 3.5 Sonnet
Claude 3.5 Sonnet represents a significant leap forward in large language models, offering unparalleled reasoning, coding, and safety capabilities. Its versatility and advanced features make it a valuable tool for businesses and individuals seeking to harness the power of AI.
| Developer | Anthropic |
| Release Date | October 22, 2024 |
| Open Source | No |
| Input Context Window | 200K tokens |
| Maximum Output Tokens | 8192 tokens |
| Knowledge Cut-off Date | April 2024 |
| Modalities | Text |
3. Llama 3.3 70B Instruct
The Llama 3.3 70B Instruct model is a powerful and advanced language model developed by Meta AI. Its combination of instruction tuning, multilingual support makes it a valuable asset for businesses, researchers, and developers.
| Developer | Meta |
| Release Date | December 6, 2024 |
| Open Source | Yes |
| Input Context Window | 128K tokens |
| Maximum Output Tokens | 2048 tokens |
| Knowledge Cut-off Date | December 2023 |
| Modalities | Text |
Checkout my guide on How to install Ollama and Llama 3.3 on Ubuntu 24.04
4. Grok-2
Grok-2 is an advanced artificial intelligence model developed by xAI. It represents a significant leap in AI technology, offering enhanced capabilities in various domains.
| Developer | xAI |
| Release Date | August 13, 2024 |
| Open Source | No |
| Input Context Window | 128K tokens |
| Maximum Output Tokens | 128K tokens |
| Knowledge Cut-off Date | Unknown |
| Modalities | Text, Image |
5. Gemini 2.0 Flash
Gemini 2 is a powerful AI model developed by Google DeepMind, designed for the “agentic era”. A future where AI can act as agents in the world.
| Developer | |
| Release Date | December 11, 2024 |
| Open Source | No |
| Input Context Window | 1M tokens |
| Maximum Output Tokens | 8192 tokens |
| Knowledge Cut-off Date | August 2024 |
| Modalities | Text, Image, Audio, Video |
6. Deepseek R1
DeepSeek-R1 is an open-source reasoning model developed by DeepSeek, a Chinese artificial intelligence company. The model is designed to excel in complex tasks such as mathematics, coding, and analytical reasoning. It achieves performance comparable to leading models like OpenAI’s o1, but at a fraction of the computational cost.
| Developer | Deepseek |
| Release Date | January 20, 2025 |
| Open Source | Yes |
| Input Context Window | 128K tokens |
| Maximum Output Tokens | 32K tokens |
| Knowledge Cut-off Date | Unknown |
| Modalities | Text |
Conclusion
2025 is a pivotal year for Large Language Models (LLMs). Advancements are pushing the boundaries of AI capabilities. This list highlights some of the most prominent LLMs available. Each excels in various tasks, from text generation and translation to code completion and question answering. We can expect even more sophisticated LLMs to emerge in the near future, further transforming the landscape of AI and its applications.