Autoblocks AI

« Anthropic's latest high-end model, optimized for agentic code, long-running tasks, and critical business scenarios. It features self-checking of responses and a context window of one million tokens. It is also capable of automatically adjusting the depth of its reasoning based on the difficulty of the problem »

« 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 »

« Anthropic's most powerful model, capable of handling contexts of 1 million tokens and reasoning adaptively. It coordinates multiple agents in parallel to solve complex tasks. You control the level of effort, intelligence, or cost with 4 available settings »

« The latest high-performance LLM model from xAI, specialized in reasoning and logic. This AI has achieved record results in academic and mathematical tests. Multi-agent version tackles the toughest challenges »

« An LLM model built to act as a true technical collaborator. It plans, uses the browser and terminal, manages code across long contexts, and achieves Opus-level scores. It is also more affordable and better suited for autonomous agents »

« 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) »

« This Mixture-of-Experts model, with approximately 1 trillion parameters, features a 1M-token context, virtually infinite Engram memory, and multimodal capabilities for text, images, and video. It aims to achieve performance scores comparable to Claude Opus while remaining significantly more affordable (to be released under the Apache 2.0 license) »

« 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 »