TREE NEWS update: xAI announced the release of Grok 4.7, a larger base model trained with longer reinforcement learning runs aimed at complex, long-horizon tasks, strengthening coding, long-context and self-verification capabilities. The model is now available on Cursor, Grok Build and the API, priced at $2 per million input tokens and $6 per million output tokens. xAI says Grok 4.7 shows clear gains over Grok 4.6 on several coding, office and safety benchmarks.
xAI Releases Grok 4.7, Targets Coding and Knowledge Work
The notable part is the packaging, not the benchmark claims: shipping straight into Cursor and a build tool, at published per-token rates, positions Grok 4.7 as a direct substitute in existing coding workflows rather than a destination users must seek out. Emphasizing long-horizon tasks and self-verification signals xAI is chasing agentic, multi-step work where reliability, not raw capability, decides adoption. Whether that reliability holds outside xAI's own benchmark selection is the open question, and it is the one enterprise buyers will test before switching.
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