Autoblocks AI

« 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 »

« 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 »

« 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 »

« 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 1 million-token model with remarkable performance in coding, financial research, legal writing, and cybersecurity. It is capable of independently detecting and fixing critical software vulnerabilities. Accessible via API, subscription, or integrated with Google Search »

« 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) »

« 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 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 »