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1 / 8GPT: General Purpose Transformers, better known as GPTs, have become synonymous with OpenAI’s flagship AI suite, ChatGPT. The ChatGPT family includes ChatGPT-4o and ChatGPT-4o mini, as well as the more powerful — and expensive — o1. These models excel in processing speeds and multimodal capabilities, boasting over 175 billion parameters and a context window of 128,000 tokens for advanced content generation.
2 / 8DeepSeek: Chinese AI lab DeepSeek-is the flavour of the month. DeepSeek’s AI models supposedly do everything ChatGPT does, but better, faster and for a fraction of the cost,. DeepSeek’s V3 stands out with 671 billion parameters and a context window of 128,000 tokens, which should translate into exceptional performance in long-form content processing and tasks like mathematics and code generation, making it ideal for businesses with large data needs.
3 / 8Qwen: Developed by Alibaba Cloud, the Qwen 2.5 model features 32.5 billion parameters and excels in reasoning and analytical tasks, outperforming many existing models in mathematics and coding, and is available for testing on platforms like Hugging Face, GitHub, et al.
4 / 8LG AI: EXAONE 3.0, developed by LG AI Research, is a bilingual model with 7.8 billion parameters, optimised for performance while reducing costs, making it suitable for software companies needing assistance with coding and troubleshooting.
5 / 8LlaMA: Meta’s LlaMA 3.2 features multimodal capabilities, processing both text and images with up to 405 billion parameters, offering businesses advanced content generation and language understanding with open-source flexibility. The easiest point of access to LlaMA is the Meta AI feature on the company’s social media platforms — Facebook, Instagram, and WhatsApp.
6 / 8Claude: Anthropic’s Claude 3.5 Sonnet model is designed for nuanced human interactions, featuring a context window of 200,000 tokens, making it ideal for businesses seeking AI that enhances coding and conversational capabilities.
7 / 8Gemini: Google’s Gemini models, boasting an impressive 1.5 trillion parameters, are designed for various devices but are proprietary, prompting businesses to ensure compliance with data privacy regulations due to security concerns. Google offers a basic version of Gemini for free and unlocks more powerful features in the paid version, Gemini Advanced.
8 / 8Command: Cohere’s Command R+ model features 104 billion parameters and a leading 128,000 token context window, optimised for Retrieval Augmented Generation, offering businesses flexibility and the ability to avoid vendor lock-in.
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