Extended task handling
A longer reinforcement-learning run focused on harder, multi-hour problems is intended to improve performance on tasks that require sustained work rather than a short answer.
Grok 4.7 is an AI model for software development and knowledge work, designed for extended coding and professional tasks. It is available through Grok Build, Cursor, the Grok API, and other supported coding and model-serving platforms.
Grok 4.7 is an AI model for software engineering and knowledge work. It is designed for difficult, longer-running tasks, with improvements in extended-context management, self-checking, and work that may continue for several hours. The model is also trained to understand the Grok Bot harness for conversational tasks and general knowledge work.
Its published evaluation coverage includes coding, terminal work, electrical engineering, office and professional knowledge work, legal work, clinical reasoning, and safety-sensitive cybersecurity and biological tasks. Grok 4.7 is available through Grok Build, Cursor, the Grok API, third-party coding harnesses, model routers, and cloud platforms. The launch page lists usage starting at $2 per million input tokens and $6 per million output tokens.
A longer reinforcement-learning run focused on harder, multi-hour problems is intended to improve performance on tasks that require sustained work rather than a short answer.
Grok 4.7 is described as better at checking its own work and managing longer context, which is relevant to extended coding, terminal, and document workflows.
The published results cover software engineering, terminal work, electrical engineering, office work, legal work, and clinical reasoning, including a 46.3% CursorBench 4.0 score and a 1,657 AA Briefcase v1.1 score.
The launch material reports improved performance in creating documents and presentations, with comparisons on GDPval and AA Briefcase against earlier and other frontier models.
A new safeguard stack is intended to improve refusal behavior and jailbreak resistance while supporting legitimate cybersecurity work. Select cybersecurity partners can access red-team capabilities by invitation.
Developers can use Grok 4.7 for coding tasks that require sustained reasoning, including work evaluated by CursorBench and DeepSWE, rather than limiting it to short code-generation requests.
Teams working with terminal-based tasks or electrical-engineering problems can evaluate the model against their own workflows, reflecting the model’s published Terminal-Bench and EEBench coverage.
Knowledge workers can use the model to help create business documents and presentations, a workflow represented by the reported GDPval and AA Briefcase results.
Security practitioners can apply the model to legitimate cybersecurity and defense research. Access to the described red-team capabilities is limited to select partners by invitation.
The launch page says Grok 4.7 is available in Cursor and Grok Build, through the Grok API, and through third-party coding harnesses, model routers, and cloud platforms.
The listed starting rates 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 specify broader plan limits or usage quotas.
Its stated focus is coding and knowledge work, with published evaluations covering software engineering, terminal work, electrical engineering, professional office work, legal work, clinical reasoning, and safety-sensitive cybersecurity and biological tasks.
Yes. The source describes utility for legitimate cybersecurity work alongside safeguards for risky or malicious tasks. Select cybersecurity partners receive invite-only access to red-team capabilities for defense research.
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