Qwen3.8-2.4T-A95B vs. Grok 4.6

Grok 4.6

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What is Qwen3.8-2.4T-A95B?

Qwen3.8-2.4T-A95B emerges as the largest open model in the Qwen3.8 series, presenting advanced Qwen-Max-class capabilities in a format that is accessible to the public. Built on the robust foundation of Qwen3.5, this model offers marked improvements in performance across various domains, including coding, professional applications, research, and complex, extended agentic tasks, underscoring its ability to reliably execute intricate, multi-step workflows to completion. With its innovative mixture-of-experts architecture, it features a remarkable total of 2.4 trillion parameters, of which 95 billion are activated, utilizing 512 experts and allowing for simultaneous engagement of 10 routed experts alongside one shared expert. The model supports a native context length of 262,144 tokens, extendable to about 1.01 million tokens, thereby enabling considerable adaptability for diverse applications. Additionally, enhancements in agent execution, such as superior autonomous planning and improved responsiveness to environmental cues, enhance its overall efficiency. Its extensive compatibility with popular agent frameworks and development tools further aids in smooth integration into current systems, making it an appealing option for both developers and researchers. This versatility is particularly beneficial for those seeking to leverage advanced AI capabilities in their projects.

What is Grok 4.6?

Grok 4.6 is a frontier AI model from xAI focused on long-running agents, ambitious interactive work, visual projects, coding, research, and knowledge work. The model builds on Grok 4.5 and is designed to stay engaged across complex tasks that unfold over many steps. Users can apply Grok 4.6 to research unfamiliar domains, analyze information, work across codebases, generate applications, create work artifacts, and refine projects through iterative feedback. Its training included a longer supplemental run with curated model-generated data for reasoning and advanced technical concepts, high-quality engineering data, and an improved optimizer and training recipe. xAI also regenerated supervised fine-tuning trajectories across reasoning efforts, agent harnesses, STEM, software engineering, and knowledge work, then filtered problematic traces with model-based checks. Grok 4.6 was trained on agentic reinforcement learning tasks across knowledge work, general coding, kernel optimization, web development, computer-aided design, and related technical environments. The model is positioned as especially useful for turning broad product ideas into working first versions because it can structure an application, implement core interactions, and improve the result over several rounds. It also produces stronger first passes on visual and interactive projects than Grok 4.5, making it useful when teams need a substantial starting point for iteration. xAI reports that Grok 4.6 performs strongly across benchmarks such as Artificial Analysis Intelligence Index, GDPVal-AA, DeepSWE, CursorBench, FrontierCode, APEX-Agents, Terminal-Bench, APEX-SWE, AA-Briefcase, and Harvey LAB. Grok 4.6 is available in Cursor, Grok Build, the xAI API, OpenRouter, Vercel, Cloudflare, and other partner environments, with a fast variant also available at higher pricing.