Grok 4.1

« Tackle time-consuming and complex tasks by letting AI plan, use tools, check its work, and see tasks through to completion with minimal supervision. This model significantly improves coding, the use of virtual machines, online research, and knowledge work tasks »

« The OpenAI model built for long and complicated tasks. It has fewer hallucinations and improved multi-step reasoning. This LLM is great for creating tables, presentations, analyzing long documents, and coding »

« A Google AI model capable of handling complex tasks involving text, images, audio, or video. It can summarize lengthy sources, analyze data, and assist in coding end-to-end interfaces »

« Anthropic's premium model for code, agents, and computer use: hybrid reasoning (instant or deep responses), advanced memory management, and execution of long workflows with fewer tokens »

« The latest high-performance LLM model from xAI, specialized in reasoning and logic. This AI has achieved record results in academic and mathematical tests. Multi-agent version tackles the toughest challenges »

« Google's most intelligent multimodal model: advanced reasoning, deep contextual understanding, autonomous agents, visual coding, and Deep Think mode. It performs particularly well for agentic coding »

« An open-source model designed for code and long-running tasks, with a context window of up to 1 million tokens. This Mixed Expert (MoE) LLM handles complex projects, analyzes entire repositories, and performs multi-step reasoning. It is available as open source under the MIT license »

« This Mixture-of-Experts model, with approximately 1 trillion parameters, features a 1M-token context, virtually infinite Engram memory, and multimodal capabilities for text, images, and video. It aims to achieve performance scores comparable to Claude Opus while remaining significantly more affordable (to be released under the Apache 2.0 license) »