Qwen3.5 Omni

« 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 »

« 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 »

« 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 premium model designed for everyday use, offering improved capabilities in coding, reasoning, and agent-based tasks, while remaining more affordable than the next tier up. Available on the Pro and Max plans at Anthropic »

« Tackle time-consuming and complex tasks by letting AI plan, use tools, check its work, and see tasks through to completion with minimal supervision. This model significantly improves coding, the use of virtual machines, online research, and knowledge work tasks »

« 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 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 »