Microsoft Azure

OpenAI's most advanced multimodal model, capable of processing and generating text, images, and potentially other data types in real-time. It features a 128,000-token context window, delivering improved reasoning, reduced latency, and enhanced instruction-following compared to previous models. GPT-4o achieves state-of-the-art performance across benchmarks like MMLU and excels in applications requiring real-time interaction, such as conversational agents, creative writing, and multimodal analysis.

A compact, cost-efficient variant of GPT-4o, retaining 70% of its multimodal performance with a 128,000-token context window. It supports text generation, image understanding, and code generation at a fraction of the cost, making it ideal for budget-conscious applications like lightweight chatbots, content generation, and educational tools. GPT-4o Mini balances performance and affordability while maintaining strong reasoning capabilities.

A highly capable Anthropic model with a 200,000-token context window, offering exceptional reasoning, coding, and multimodal (text and image) performance. It includes advanced safety guardrails and improved multilingual support, making it suitable for secure, complex tasks like legal analysis, technical writing, and visual data interpretation. Claude 3.5 Sonnet is known for its low hallucination rate and precise outputs.

The flagship model in Meta's Llama 3.3 family with a 128,000-token context window, designed for enterprise and research applications. It delivers state-of-the-art performance across reasoning, coding, and language understanding, with enhanced multilingual support and robust safety guardrails. Llama 3.3 70B excels in complex tasks like detailed content creation, technical problem-solving, and advanced applications requiring sophisticated reasoning.