Grok 4.5 is a mixture-of-experts model designed for coding, agentic workflows, and long-form knowledge tasks, positioning it as xAI's flagship for professional work beyond simple software engineering. It was trained jointly with SpaceXAI using trillions of tokens of Cursor data, which captures real developer-agent interactions with codebases and software tools, giving it practical grounding in how teams actually work with AI assistance. The model was co-developed with real coding-session data from Cursor, reflecting a lineage from Grok 3 through earlier generations, and replacing Grok 4.3 as xAI's frontier offering. Its training data mix was deliberately broadened compared to the coding-specialist Composer 2.5, retaining coding focus while expanding capabilities into data science, finance, and legal domains.
Benchmark evaluation and real-world usage suggest Grok 4.5 performs strongly on professional knowledge work while remaining token-efficient. On Snorkel AI's GDPval+ evaluation, a the listed price,000-task expert-curated sample of workplace reasoning across occupations and sectors, Grok 4.5 achieved a 29% mean pass rate, outperforming GPT 5.5 and Claude Opus 4.8 while also being the lowest-priced model in the comparison. Independent usage tracking shows it as a recent entrant on the OpenCode Go rankings, marked as "New" in the latest weekly snapshot. The combination of agent-oriented training, strong benchmark results on professional reasoning, and cost efficiency makes it a practical fit for teams handling multi-step coding tasks, legal and financial analysis, and other knowledge-heavy workflows where tool use and long-context reasoning matter.
