Grok 4.3

« A long-term coding and agent model based on GLM-5.2, featuring enhanced training, a 1-million-token context, and always-active reasoning that can be adjusted across three levels. This LLM stands out for its performance in logical reasoning and semantic understanding. »

« A fast and cost-effective model for code and long-running agent tasks, with clear improvements in multi-step reasoning. Available at the same price as the previous version through the end of 2026 »

« Moonshot's LLM model, which rivals the best proprietary models on numerous benchmarks. Designed for long-form coding, advanced reasoning, and knowledge work tasks, it is also the first open-source model to surpass the 2.8 trillion-parameter mark »

« 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 »

« A premium model designed for everyday use, offering improved capabilities in coding, reasoning, and agent-based tasks, while remaining more affordable than the next tier up. Available on the Pro and Max plans at Anthropic »

« Take advantage of Anthropic’s AI model—more reliable, more honest, and four times less likely to overlook its own errors. Its fast mode delivers up to 2.5 times more tokens per second (at the same API rate as the previous version) »

« 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 »

« Alibaba's very large, multimodal, open-source model. Performs particularly well on coding, research, or long, autonomous tasks. Supports a context size of up to 1 million tokens»