SpaceXAI Releases Grok 4.5, a Cursor-Trained Model for Coding, Agentic Tasks, and Knowledge Work at $2/M Input
SpaceXAI unveiled Grok 4.5, a Cursor-trained model optimized for coding, agentic workflows, and knowledge work. It delivers top performance on Harvey's Legal Agent Benchmark while cutting costs to $2 per million input tokens.
- Grok 4.5 is trained using Cursor, a leading AI code editor, enhancing its coding and agentic task capabilities.
- The model ranks #1 on Harvey's Legal Agent Benchmark, indicating superior performance in agentic workflows.
- Pricing is set at $2 per million input tokens and $6 per million output tokens, making it a cost-competitive option.
- Throughput reaches 80 tokens per second, addressing real-time performance needs for developers.
SpaceXAI has introduced Grok 4.5, a new iteration of its flagship model designed to enhance coding efficiency, agentic task execution, and knowledge work applications. The model leverages training data from Cursor, a popular AI-powered code editor, to improve its performance in developer-centric workflows. Grok 4.5 achieves a throughput of 80 tokens per second and ranks first on Harvey's Legal Agent Benchmark, a key metric for evaluating agentic AI systems in legal and compliance contexts.
Pricing for Grok 4.5 is set at $2 per million input tokens, with output tokens priced at $6 per million, positioning it as a cost-effective alternative to competing models. The model's release underscores SpaceXAI's focus on practical, high-performance AI tools tailored for professional and enterprise use cases, particularly in coding and automated workflows.
The announcement highlights Grok 4.5's potential to disrupt the AI coding assistant market, where models like Cursor's own offerings and GitHub Copilot dominate. By combining strong benchmark performance with competitive pricing, SpaceXAI aims to attract developers and businesses seeking reliable, scalable AI solutions for complex tasks.
Source: SpaceXAI Releases Grok 4.5, a Cursor-Trained Model for Coding, Agentic Tasks, and Knowledge Work at $2/M Input. Read the full piece at the source.
Provides a high-performance, cost-effective alternative for coding and agentic tasks.
Offers scalable AI solutions for knowledge work and automated workflows at competitive rates.
Demonstrates SpaceXAI's expansion into practical AI tools with measurable benchmarks and pricing.
Highlights the growing importance of specialized AI models for professional and enterprise use.
- Agentic tasks
- AI systems designed to perform autonomous or semi-autonomous actions, such as coding, legal research, or workflow automation.
- Tokens per second (TPS)
- A measure of how quickly an AI model processes and generates text, indicating real-time performance.
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