« 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 »

Best AI tools forLLM models
AI models to test and tools to learn how to master them
« 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 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 first natively multimodal model in the GLM-5 family, capable of observing interfaces and generating code based on what it sees, with a context of 1 million tokens at a very low cost »
« 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) »
« Leverage powerful AI optimized for coding, finance, and autonomous tasks. This new LLM model from SpaceXAI is designed to be fast, cost-effective, and capable of handling complex end-to-end workflows. Trained with Cursor »
« 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 »
« The latest high-performance LLM model from xAI, specialized in reasoning and logic. This AI has achieved record results in academic and mathematical tests. Multi-agent version tackles the toughest challenges »
« 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 »
« 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 »
« Use a more reliable and accurate ChatGPT. This new model significantly reduces hallucinations on sensitive topics (medicine, law, finance). It provides shorter responses and offers greater personalization based on your files, past conversations, and connected Gmail account »