A frontier coding model at $2 and $6 per million tokens

SpaceXAI released Grok 4.7 today at "$2 per million input tokens and $6 per million output tokens", the same price as Grok 4.6, with a fast variant at twice the output speed and twice the price. The release page says the model is available in Cursor and Grok Build, and through the Grok API, "third-party coding harnesses, and model routers and cloud platforms". The vendor's own comparison table sets those prices against $4 and $20 for GPT-5.6 Sol and $10 and $50 for Fable 5.1. On the same table, Grok 4.7 scores 46.3% on CursorBench 4.0 and 38.0% on Terminal-Bench 4.0, against 51.8% and 57.9% for Fable 5.1, and 71.0% at high effort on DeepSWE v1.1 against 72.7% for GPT-5.6 Sol. Every figure here is the vendor's. SpaceXAI describes the training as "a longer reinforcement learning run on a harder mix of tasks, weighted toward problems that take many hours to complete".

Why it matters: The claim on the page is price-performance, and the vendor's own numbers support that reading rather than a frontier-capability one: level with Grok 4.6 at the bottom of the four on both token prices, behind Fable 5.1 on two of the three coding benchmarks it publishes. For anyone routing a harness by cost per completed task rather than by leaderboard position, that is the trade to price out this week.