« 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 »

Best AI tools forLLM models
AI models to test and tools to learn how to master them
« 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 »