V-JEPA by Meta

« Discover a next-generation AI model designed for advanced use while remaining highly secure. You’ll enjoy top-tier performance for coding, analysis, and research, while safeguards block sensitive applications such as cybersecurity and biology »

« 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 »

« Anthropic's LLM model for coding, research, and long, complex tasks. With improved performance and reduced costs on agent-based workloads. It also produces far fewer false security alerts »

« An upgraded version that comes close to the intelligence of the GPT-6 Astra model at about one-fifth the cost. Enjoy better results in programming, writing, and agent-based tasks. You’ll also benefit from a context size exceeding one million tokens »

« A powerful LLM model designed for coding, research, and long-running agentic tasks, featuring 500,000 tokens of context, tool calls, and fine-tuned reasoning effort. Available directly in Cursor and Grok Build »

« A frontier model from Meta built for personal and professional use, featuring an active memory that remembers what matters to you. It can navigate independently between multiple apps to see your tasks through to completion. Includes robust coding capabilities as well »

« A reasoning model that is twice as fast and half the cost, works longer on difficult tasks, checks its own work more thoroughly, and is highly resistant to attempts to circumvent it. It integrates easily with Cursor or via API »

« 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 »