Guanaco AI

« 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 »

« 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 »

« 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. »

« OpenAI's latest model for those who need an AI that excels in coding, science, and cybersecurity. Available directly in ChatGPT or via the API in 3 versions: Sol, Terra, and Luna »

« 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»

« 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 »

« 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 »

« A fast and cost-effective model designed for code, agents, and complex workflows, with a 1-million-token context and significant improvements on long-running tasks and multi-step execution. Compared to its predecessor, this model scores 9 points higher on FrontierCode 1.1 and 16 points higher on DeepSWE v1.1 »