ChatGPT 4.5

« 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»

« The OpenAI model capable of operating a computer like a human: filling out forms, managing a CRM, coding, analyzing scientific data, or conducting research. With a context of 1 million tokens »

« A fast and cost-effective model for code and long-running agent tasks, with clear improvements in multi-step reasoning. Available at the same price as the previous version through the end of 2026 »

« 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 »

« 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) »

« 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 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 »

« 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. »