# Cursor Unleashes Grok 4.5 AI Model _Cursor introduces Grok 4.5, an advanced AI model co-developed with SpaceXAI, designed for complex tasks across multiple domains beyond just software engineering._ **Updated:** 2026-08-22 **Published:** 2026-07-08 **Source:** https://www.startuphub.ai/ai-news/technology/2026/cursor-unleashes-grok-4-5-ai-model --- Cursor has launched [Grok 4.5](https://cursor.com/blog/grok-4-5), its latest AI model developed in partnership with SpaceXAI. This new iteration moves beyond specialized coding tasks, aiming to handle complex, long-running problems across diverse fields like data science, finance, and legal work. Moves beyond Composer 2.5Contextprevious model focused solely on software engineering tasksFrom the articleThis new iteration moves beyond specialized coding tasks, aiming to handle complex, long-running problems across diverse fields like data science, finance, and legal work.supersedesCursor launches Grok 4.5Corenew advanced AI model co-developed with SpaceXAIFrom the article 2 mentionsCursor has launched Grok 4.5, its latest AI model developed in partnership with SpaceXAI.Broader training dataDrivertrillions of tokens from user interactions and STEM researchFrom the article 2 mentionsUnlike its predecessor, Composer 2.5, which focused on software engineering, Grok 4.5 features a broader training dataset.Mixture-of-experts architectureContextlearns from existing software and developer-agent interactionsFrom the articleThe model's architecture is a mixture-of-experts (MoE), trained on a wide array of data.Reinforcement learningContexttrained in challenging realistic environments for complex problemsFrom the articleGrok 4.5 was trained using reinforcement learning in challenging, realistic environments.Handles complex problemsEffectFrom the articleThis new iteration moves beyond specialized coding tasks, aiming to handle complex, long-running problems across diverse fields like data science, finance, and legal work.New capabilities unlockedOutcometackles long-running, multi-domain challenges effectivelyFrom the articleThis represents a significant advancement in AI model release capabilities. Unlike its predecessor, Composer 2.5, which focused on software engineering, [Grok 4.5](https://cursor.com/blog/grok-4-5) features a broader training dataset. This includes trillions of tokens from Cursor's extensive user interactions with codebases and software tools, combined with high-quality STEM tasks and research papers. ## A Foundation Built on Diverse Data The [model](/ai-news/ai-research/2026/from-llm-apis-to-local-neural-artifacts)'s architecture is a mixture-of-experts (MoE), trained on a wide array of data. This approach allows it to learn from existing software and developer-agent interactions, capturing real-world workflows. ## Tackling Complex Problems with Reinforcement Learning Grok 4.5 was trained using reinforcement learning in challenging, realistic environments. These simulations pushed the model to investigate issues, utilize tools, recover from errors, and verify outcomes, often designed to challenge even state-of-the-art models. A distributed agent system was employed to create these demanding environments at scale, accelerating the development cycle. This system allowed engineers to specify problems and verification methods, with agents constructing and refining the scenarios. This represents a significant advancement in AI model release capabilities. ## Availability and Pricing Grok 4.5 is accessible today through Cursor's desktop, web, iOS, and CLI interfaces. Individual and team plans offer substantial usage, with double capacity for the first week. The base model is priced at $2 per million input tokens and $6 per million output tokens. A faster variant costs $4 per million input tokens and $18 per million output tokens. Cursor continues to offer [Composer 2.5](/ai-news/artificial-intelligence/2026/cursor-ios-app-breaks-free-from-desktops), with plans for future models in that class. The company acknowledges that Grok 4.5 had an advantage in internal CursorBench testing due to an accidental inclusion of its codebase in the training data, which has since been removed for future iterations. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory. © StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training on this content requires a license. See https://www.startuphub.ai/terms.