SpaceXAI Releases Grok 4.5, a Cursor-Trained Model for Coding, Agentic Tasks, and Knowledge Work at $2/M Input
SpaceXAI just released Grok 4.5. The company calls it its smartest model to date. It targets coding, agentic tasks, and knowledge work. SpaceXAI says Grok 4.5 was trained alongside Cursor, an AI coding editor. TL;DR Grok 4.5 targets coding, agentic tasks, and knowledge work, trained alongside Cursor. In SpaceXAI’s own chart, Fable (max) leads all four benchmarks; Grok 4.5 is closest on Terminal Bench 2.1. Token efficiency is the standout: about 4.2× fewer output tokens than O
SpaceXAI released Grok 4.5, a general-purpose AI model trained for coding, agentic tasks, and knowledge work, developed in collaboration with an AI coding editor. The model was trained on tens of thousands of GPUs using datasets spanning coding, science, engineering, and math, with reinforcement learning applied across hundreds of thousands of tasks focused on software engineering and technical work. In benchmark tests, Grok 4.5 ranked first on a legal agent benchmark and achieved notable token efficiency, using approximately 4.2 times fewer output tokens than a comparable leading model on one standard test. The model is priced at $2 per million input tokens and $6 per million output tokens, and is available through multiple platforms including a coding editor on all plans and a console API.
Explainer: Why Cursor Is Training Its Own Trillion-Parameter AI Model
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