GLM 5

« 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 »

« 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 »

« 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 »

« 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) »

« An LLM model built to act as a true technical collaborator. It plans, uses the browser and terminal, manages code across long contexts, and achieves Opus-level scores. It is also more affordable and better suited for autonomous agents »

« Designed for intensive tasks, this model from Google’s Gemini family outperforms its predecessor in token efficiency while improving performance in coding and knowledge-based tasks. With a 1-million-token context, full multimodality, and better agentic task performance »

« 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 »

« 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) »