Qwen3.6-Plus

« 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 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 »

« An AI model built for code and autonomous agents. It features a context window of one million tokens and enables detailed analysis of documents, charts, and screenshots. It is 40% less expensive than its predecessor (Opus 5) »

« 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 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 »

« 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 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 »