Grok 4.7

Product Introduction

1. Definition: Grok 4.7 is a large language model (LLM) and artificial intelligence (AI) system developed by xAI, specifically engineered for advanced coding, software engineering, and complex knowledge work. It represents the latest iteration in the Grok model series, designed as a frontier AI model for professional and enterprise applications.
2. Core Value Proposition: Grok 4.7 exists to deliver superior price-performance for computationally intensive, multi-hour tasks. Its primary value is providing state-of-the-art reasoning and coding capabilities at a significantly lower cost than comparable models, making advanced AI more accessible for development, research, and professional workflows.

Main Features

1. Enhanced Long-Context Task Handling: Grok 4.7 is trained on a harder mix of tasks weighted toward problems that take many hours to complete. It features improved context management and the ability to work longer on difficult problems, systematically checking its own work for accuracy. This is achieved through a larger base model architecture and extended reinforcement learning (RL) training runs.
2. Native Grok Bot Integration: The model is specifically trained to natively understand and operate within the Grok Bot harness. This architectural optimization makes it more effective at conversational AI tasks, agentic workflows, and general knowledge work compared to simply using an API, reducing latency and improving instruction following.
3. Next-Generation Safeguard Stack: Grok 4.7 incorporates a completely rebuilt safety and alignment framework. It demonstrates leading performance in refusal robustness and jailbreak resistance, particularly in dual-use domains like cybersecurity and biotechnology. This allows it to provide high utility for legitimate security research and benign tasks while maintaining strong safeguards against malicious use.

Problems Solved

1. Pain Point: The high cost and inconsistent performance of frontier AI models for extended, real-world professional tasks like codebase refactoring, legal document review, or clinical analysis.
2. Target Audience: Software engineers and developers using AI-powered IDEs like Cursor; cybersecurity researchers and red teams; data scientists and analysts; legal and financial professionals utilizing AI assistants; biomedical researchers and healthcare analysts.
3. Use Cases: Completing complex software engineering benchmarks (CursorBench 4.0, DeepSWE); performing multi-hour office work like creating financial reports or presentations (AA Briefcase); conducting security vulnerability research and defense (HackerBench); assisting with specialized professional work in legal (Harvey Benchmark) and clinical reasoning (HealthBench).

Unique Advantages

1. Differentiation: Against competitors like GPT-5.6 Sol and Fable 5.1, Grok 4.7's primary advantage is its unmatched price-to-performance ratio. It delivers frontier-level benchmark scores (e.g., 46.3% on CursorBench 4.0) at a fraction of the cost ($2/M input tokens, $6/M output tokens). It also shows specialized strength in electrical engineering (EEBench) and cybersecurity safety.
2. Key Innovation: The model's training focus on "long-duration" problem-solving is a key innovation. By optimizing for tasks that require sustained reasoning over hours, not just single prompts, it addresses a critical gap in AI utility for professional work. Furthermore, its new safeguard stack sets a benchmark for balancing capability with safety in high-risk domains.

Frequently Asked Questions (FAQ)

1. What is the price of the Grok 4.7 API? Grok 4.7 is priced at $2.00 per million input tokens and $6.00 per million output tokens, with a faster variant available at twice the speed for twice the output token cost.
2. How does Grok 4.7 compare to Grok 4.6? Grok 4.7 is built on a new, larger base model with longer RL training. It shows significant improvements across all benchmarks, especially in long-context coding (CursorBench), electrical engineering (EEBench), and safety, while maintaining the same price and speed as Grok 4.6.
3. Is Grok 4.7 good for software development? Yes, Grok 4.7 is specifically highlighted as a top model for coding and knowledge work. It achieves a leading price-performance score on CursorBench 4.0, a benchmark for longer-running coding tasks, making it highly competitive for AI-assisted software engineering.
4. What are the safety features of Grok 4.7? Grok 4.7 features a completely new safeguard stack, offering the strongest refusal and jailbreak resistance xAI has tested. It leads in biosafety benchmarks (LatchBio) and allows only 3.3% of risky cyber prompts through on HackerBench v0.3 while minimizing false positives for legitimate security work.
5. Where can I access Grok 4.7? The model is available through the Grok API on console.x.ai, integrated into the Cursor IDE, within Grok Build, and via third-party coding harnesses, model routers, and cloud platforms.