Qwen2-Math

« This version of Grok brings together four professor-level agents who reason together before responding. They correct each other, break down problems, and rely on real-time web search and coding tools to provide more reliable answers »

« This open-source model takes agent-based programming even further with multi-file editing, 256K of context, and the generation of animated front-end interfaces. It also features swarms of up to 300 sub-agents capable of performing tasks continuously »

« 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 »

« Anthropic's latest high-end model, optimized for agentic code, long-running tasks, and critical business scenarios. It features self-checking of responses and a context window of one million tokens. It is also capable of automatically adjusting the depth of its reasoning based on the difficulty of the problem »

« 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 »

« 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 »

« 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 »

« The new beta version of the xAI model, which is comparable in size to Grok 4.20 but features an improved architecture and knowledge updated through December 2025, is already being rolled out gradually »