xAI released Grok 4.7 on September 21, describing it as its most capable model yet for coding and knowledge work. The company says it is twice as fast and half the price of comparable models, and is served at the same price and speed as Grok 4.6. Token pricing sits at $2 per million input tokens and $6 per million output tokens, against $4 and $20 for GPT-5.6 Sol Max and $10 and $50 for Fable 5.1 Max.
The gains come from a larger base model trained with a longer reinforcement learning run on a harder task mix, weighted toward problems that take many hours to finish. xAI says the model verifies its own work more carefully, manages longer context better, and natively understands the Grok Bot harness. On CursorBench 4.0 it scores 46.3%, up from 40.4% for Grok 4.6 and ahead of GPT-5.6 Sol Max at 41.7%, though behind Fable 5.1 Max at 51.8%. It also climbs to 38.0% on Terminal-Bench 4.0 from 20.3%, and reaches 64.0% on EEBench.
The launch became one of the most discussed items on Hacker News, with hundreds of comments arguing over whether the price-performance claim holds up against Opus 5 and Sonnet 5. For founders, the practical takeaway is cheaper long-horizon coding and agent work. Multi-hour terminal tasks and office-style workflows are where the benchmark spread is widest, and where token bills usually hurt most.