Grok 4.5 - SpaceXAI's New Generation Flagship Large Language Model

What is Grok 4.5

Grok 4.5 is the new generation flagship large language model launched by SpaceXAI (formerly xAI), based on the 1.5 trillion parameter V9 foundation architecture. During the supplementary training phase, the model deeply integratesCursorprogramming data, significantly strengthening code generation and software engineering capabilities. Musk positions it as aOpus 4.7-level model, focusing on faster inference speed, higher token efficiency and lower usage cost. In third-party evaluations, Grok 4.5 ranks fourth globally on the GDPval-AA v2 benchmark and is now open to the public.

Main Features of Grok 4.5

• Intelligent Code Generation: Deeply trained on Cursor programming data, supporting code completion, bug fixing, project refactoring and automated test generation.
• Multi-step Engineering Task Processing: Covers cross-file dependency analysis, architecture design and technical documentation generation, excelling at long-horizon software engineering workflows.
• Agent Asynchronous Execution: Supports long-running AI Agent tasks, capable of handling complex multi-turn decision-making and office automation workflows.
• Ultra-fast Inference Output: Generation speed of 80 tokens per second, with low response latency, suitable for real-time interaction scenarios.
• Multilingual Programming Support: Performs excellently on benchmarks such as SWE-Bench Multilingual, supporting cross-language code understanding and conversion.
• Native Platform Integration: Already embedded in the Grok Build conversation platform and Cursor IDE, developers can invoke it without switching environments.
• Standard API Access: Provides OpenAI-compatible interfaces through the SpaceXAI console, supporting enterprise-level system integration and batch invocation.

Technical Principles of Grok 4.5

• Architecture Scale: Based on the new 1.5 trillion parameter V9 foundation architecture, greatly improving model capacity and expressive ability compared to the previous generation.
• Data Engineering: Training data undergoes strict deduplication, quality scoring and domain filtering, and introduces Cursor programming data as a supplementary training set, specifically strengthening code understanding and generation capabilities.
• Training Infrastructure: Uses tens of thousands of NVIDIA GB300 GPUs for large-scale training, combined with stable operation technology to ensure long training sessions without interruption.
• Reinforcement Learning Optimization: Covers hundreds of thousands of multi-step software engineering tasks, and through supporting long-running agent asynchronous training, improves the model's inference efficiency in complex long-horizon tasks.
• Inference Efficiency: Optimizes decoding strategies and inference path planning, so that SWE Bench Pro tasks consume an average of only 15,954 tokens, about one quarter of similar top-tier models, achieving dual compression of speed and cost.

How to Use Grok 4.5

• Use via Grok Build: Users can directly log in to theGrok Buildplatform, select the Grok 4.5 model in the conversation interface for interaction, suitable for daily Q&A, code writing and document processing.
• Use via Cursor Compiler: Grok 4.5 has been integrated into theCursorprogramming environment, developers can invoke the model within the IDE for code completion, bug fixing and project refactoring, achieving seamless embedding in programming workflows.
• Call via API: Developers can log in to the SpaceXAI console to obtain an API key, and integrate according to the standard OpenAI-compatible interface format.

Core Advantages of Grok 4.5

• Performance Matches Top Tier: Internal evaluation is roughly on par with Opus 4.7, with a Terminal-Bench 2.1 score of 83.3%, placing it in the top tier of large models.
• Extreme cost advantage: The cost per single task on GDPval-AA v2 is only $0.49, nearly 90% cheaper than the top three models, and lower than GLM-5.2 and Kimi K2.6.
• Leading token efficiency: SWE Bench Pro tasks consume an average of 15,954 tokens, 4.2 times fewer than Opus 4.8's 67,020 tokens, directly reducing users' actual spending.
• Extremely fast inference speed: Output speed reaches 80 tokens per second, meeting the standard for fast model operation, with more timely responses for long-horizon tasks.
• Outstanding engineering capabilities: It performs excellently on software engineering benchmarks such as DeepSWE 1.0 and SWE-Bench Pro. Reinforced with Cursor data, its code generation and multi-step engineering task handling capabilities are significantly enhanced.

Grok 4.5 project address

• Project official website：https://x.ai/news/grok-4-5

Comparison of Grok 4.5 with similar competitors

Application scenarios of Grok 4.5

• Intelligent software development: Assists with code completion, bug diagnosis, project refactoring, and automated test generation in IDEs such as Cursor, suitable for full-stack development and maintenance of large codebases.
• Multi-step engineering tasks: Handles complex long-horizon software engineering processes, such as cross-file dependency analysis, architecture design, and automatic generation of technical documentation.
• Enterprise-grade API integration: Connects to internal systems through the SpaceXAI console to build low-cost, high-throughput customer service bots, data analysis, and business process automation tools.
• Terminal programming assistance: Quickly generates scripts, query commands, and configuration files in the Grok Build platform, suitable for operations engineers and data scientists to improve daily efficiency.