nanoGPT

« A powerful LLM model designed for coding, research, and long-running agentic tasks, featuring 500,000 tokens of context, tool calls, and fine-tuned reasoning effort. Available directly in Cursor and Grok Build »

« 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) »

« A multimodal model with 552B parameters, of which only 8B are active at the input stage, featuring native visual understanding and accessible via API for your applications. This open-source model uses a Causal Encoder-Decoder architecture to respond to your text and image queries »

« The OpenAI model capable of operating a computer like a human: filling out forms, managing a CRM, coding, analyzing scientific data, or conducting research. With a context of 1 million tokens »

« 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 »

« 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 »

« Anthropic's LLM model for coding, research, and long, complex tasks. With improved performance and reduced costs on agent-based workloads. It also produces far fewer false security alerts »

« 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 »