Best AI tools forLLM models

« 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  »

« 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 »

« 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. »

« 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  »

« 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 »

« A series of (multimodal) LLM models able to process text and images for reasoning tasks. They were developed and released as open source by Xiaomi. Manage code, searches, interfaces, layouts, 3D, agents, and graphical tasks. Supports up to one million tokens »

« A powerful open-source model (1,000 billion parameters) that understands text and images and can analyze technical drawings and satellite imagery. It is capable of fixing vulnerable code and speaks more than 160 languages. Also has excellent agent capabilities »