Elon Musk’s xAI has introduced Grok 4.7, its most capable model yet for coding and knowledge work. It’s built on a larger base model, trained with longer reinforcement learning, and designed to better verify its own output, according to the company. Pricing sits at $2 per million input tokens and $6 per million output tokens. Those rates are closer to Chinese models than Western frontier models, probably for good reason. On the independent Artificial Analysis Intelligence Index (v4.3.2), which combines ten benchmarks, Grok 4.7 scores 46 and lands mid-pack. Claude Fable 5.1 and GPT-6 lead with 53 each.

The gap grows wider in agentic coding. On Terminal-Bench 4.0, Grok 4.7 hits just 26 percent, versus 60 percent for GPT-6 Astra and 55 percent for Claude Fable 5.1. Even the cheaper DeepSeek V4.1 Flash edges past it at 27 percent. The model is available through the Grok API, Cursor, and Grok Build.

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