Longer-running task performance
A larger base model and a longer reinforcement-learning run focused on difficult tasks that may take many hours to complete.
Grok 4.7
Grok 4.7 is an xAI model for software development and knowledge work, including extended coding tasks and professional analysis. It is available through Grok Build, Cursor, the Grok API, and other developer platforms, with token pricing starting at $2 per million input tokens and $6 per million output tokens.
Grok 4.7 for coding and knowledge work
Grok 4.7 is an AI model from xAI for software development and knowledge work. It is positioned for tasks that require sustained reasoning, including longer coding jobs, document and presentation creation, and professional workflows such as office, legal, clinical, electrical-engineering, and cybersecurity work.
Compared with Grok 4.6, the model uses a larger base model, longer reinforcement-learning training on harder tasks, and improved handling of extended context and self-checking. It is available through several developer and coding environments, including Cursor, Grok Build, the Grok API, third-party coding harnesses, model routers, and cloud platforms. The source lists token-based pricing starting at $2 per million input tokens and $6 per million output tokens, plus a faster variant at twice the output speed and twice the price.
Key features
Self-verification
Designed to check its own work more carefully, supporting workflows where intermediate results need review before completion.
Long-context handling
Improved management of longer context, which is relevant to extended coding sessions and multi-step knowledge-work tasks.
Grok Bot harness support
Native understanding of the Grok Bot harness for conversational tasks and general knowledge work.
Broad professional-task coverage
Benchmarked across software engineering, electrical engineering, office work, legal work, clinical reasoning, and cybersecurity-related tasks, with results differing by benchmark.
Safety and cybersecurity safeguards
A new safeguard stack focused on refusal and jailbreak resistance. The source reports 62.4% on LatchBio’s biosafety benchmark and 3.3% of risky dual-use prompts allowed through on HackerBench v0.3, while emphasizing access to legitimate security work.
Use cases
Long-running software development
Use it for software-engineering tasks that run for extended periods, where longer context and more deliberate work checking can help maintain continuity across steps.
Documents and presentations
Apply it to multi-hour office work such as preparing professional documents and presentations. The source reports improvements over Grok 4.6 on GDPval and AA Briefcase benchmarks.
Professional analysis
Use it as a general-purpose model for professional analysis across legal, clinical, and electrical-engineering tasks. Published benchmarks cover these areas, but results differ by task.
Cybersecurity defense
Use it for defensive cybersecurity research and legitimate security work. The model is designed to provide useful cyber capabilities while refusing risky or malicious dual-use requests.
Conversational and developer workflows
Access it through Grok Build, Cursor, or an API-connected coding workflow depending on whether the task is exploratory, conversational, or integrated into developer tooling.
Pros and Cons
Pros
- Designed for difficult, multi-hour coding and knowledge-work tasks.
- Includes improved self-verification and longer-context management compared with Grok 4.6.
- Available through Cursor, Grok Build, the Grok API, third-party coding harnesses, model routers, and cloud platforms.
- Publishes separate safety claims for benign cybersecurity utility, jailbreak resistance, and risky dual-use refusal behavior.
- Supports a free trial path through Grok Build and token-based API pricing.
Cons
- The available source does not document specific context-window limits, file formats, output schemas, collaboration controls, or deployment requirements.
- Benchmark results vary substantially by task, so the published scores do not establish uniformly leading performance across every workflow.
- The faster variant costs twice as much as the standard pricing level.
FAQ
Where can I use Grok 4.7?
Grok 4.7 is available in Cursor and Grok Build, and it can also be accessed through the Grok API, third-party coding harnesses, model routers, and cloud platforms. The source page also provides links for creating an API key and reading the xAI documentation.
Can I try Grok 4.7 for free?
The model is available to try for free in Grok Build. The source does not specify the limits or conditions of that access.
How is Grok 4.7 priced?
The listed starting prices are $2 per million input tokens and $6 per million output tokens. A fast variant provides twice the output speed at twice the price; the source does not provide further plan or usage limits.
What kinds of work is Grok 4.7 designed for?
Grok 4.7 is intended for coding and knowledge work, including longer-running software tasks, document and presentation creation, office work, electrical engineering, legal work, clinical reasoning, and cybersecurity work. Benchmark results indicate that performance varies by task, so the model should be evaluated against the requirements of a specific workflow.
What workflow details and outputs are documented?
The model can work through the Grok Bot harness and is described as better at verifying its own work and managing longer context. The source does not specify particular file formats, output schemas, collaboration controls, or deployment requirements.
Quick Facts
- Category
- AI model / developer tool
- Primary uses
- Coding and knowledge work
- Availability
- Cursor, Grok Build, Grok API, third-party coding harnesses, model routers, and cloud platforms
- Starting input price
- $2 per million tokens
- Starting output price
- $6 per million tokens
- Fast variant
- Twice the output speed at twice the price
Alternativas a Grok 4.7
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.
Ghost
Ghost es un asistente de IA para terminal para chatear, generar código y ejecutar tareas en la línea de comandos. Incluye modelos gratuitos, es compatible con Linux, macOS y Windows, y es de código abierto.
Vi3ecode
Vi3ecode is a maintained development environment for working with AI coding agents. It keeps project context, terminal, Git, memory, flows, review, and communication connected around the agent you already use.
Lucid Train
Lucid Train is a local-first AI coding harness that turns repository code into architecture diagrams and uses those diagrams as specifications for coding agents. It is available as a desktop app and a lightweight Rust CLI, and it can run with local models or your own API keys.
MeetStream
MeetStream is a meeting bot API for Zoom, Google Meet, Microsoft Teams, and Webex. It helps developers record, stream, and analyze meetings programmatically, with usage-based pricing and a $5 free credit to start.
CreateOS Sandbox
CreateOS Sandbox is an isolated compute environment for running code and agent workloads inside Firecracker micro-VMs. It is designed for workflows that need machine-level isolation, private networking between sandboxes, and programmatic control through SDK, CLI, or MCP.