The 8 Leading AI LLM Models in 2024

As of December 2024, the landscape of Large Language Models (LLMs) continues to evolve rapidly, with significant advancements across various dimensions, including multimodal capabilities, context window sizes, and open-source accessibility. This article synthesizes the latest information to provide an updated overview of the leading LLMs in 2024.

Top LLMs (Combined from Multiple Sources):

OpenAI o1

• Developer: OpenAI
• Access: API
• Multimodal: Yes (text, image, audio)
• Description: Released in December 2024, OpenAI o1 marks a paradigm shift from prediction-based models to reasoning-based models. This model excels at solving tasks requiring verifiable and logical solutions, such as complex problem-solving and coding tasks.

GPT-4o

• Developer: OpenAI
• Access: API
• Multimodal: Yes (text, image, audio)
• Description: Launched in May 2024, GPT-4o is a state-of-the-art LLM that performs exceptionally well across benchmarks, including an 88.7% score on the Massive Multitask Language Understanding (MMLU) benchmark. Its multimodal capabilities enable seamless processing of text, images, and audio data.

Gemini Exp 1206 (Gemini 2 Flash)

• Developer: Google DeepMind
• Access: API
• Multimodal: Yes (text, image, audio, video, code)
• Description: Google’s Gemini 1.5 Pro, introduced in June 2024, is a groundbreaking model with a 2-million-token context window—the longest among all major LLMs. This capability makes it particularly effective for processing extensive datasets, such as hours of video or thousands of lines of code.

Llama 3.3

• Developer: Meta AI
• Access: Open-Source
• Multimodal: Yes (text and vision)
• Description: Released in December 2024, Llama 3.3 enhances Meta’s previous iterations by adding multimodal support for text and visual data. It remains open-source, promoting accessibility and adaptability for various use cases.

DBRX

• Developer: Mosaic ML and Databricks
• Access: Open-Source
• Multimodal: No (text only)
• Description: Introduced in March 2024, DBRX is a mixture-of-experts Transformer model with 132 billion parameters. It surpasses other open-source models like Llama 2 and Mistral in performance across multiple benchmarks.

Claude 3.6

• Developer: Anthropic
• Access: API
• Multimodal: Yes (text and vision)
• Description: An evolution of Claude 3.5, Claude 3.6 focuses on safety, reliability, and performance. Its enhanced text and vision capabilities make it a robust choice for applications requiring both modalities.

Stable LM 2

• Developer: Stability AI
• Access: Open-Source
• Multimodal: No (text only)
• Description: Released in January 2024, Stable LM 2 offers lightweight yet powerful models with parameter sizes of 1.6 billion and 12 billion, making it an efficient choice for various text-centric applications.

Cohere Command R+

• Developer: Cohere
• Access: API
• Multimodal: No (text only)
• Description: Optimized for retrieval-augmented generation (RAG), Cohere’s Command R+ enhances the ability to provide contextually relevant and accurate responses, making it a powerful tool for tasks requiring deep integration with external data.

This updated list represents the cutting edge of LLM technology as of December 2024. Each model offers unique features and capabilities, ensuring that organizations and developers have a wide range of tools to meet their specific needs. As the field continues to advance, new models and improvements are expected to further expand the possibilities for AI applications.