xAI's Grok 4.7 lags behind Claude and GPT-6 on benchmarks
xai launches grok 4.7 at $2 per million input tokens, but scores 46 on artificial analysis intelligence index, far behind claude fable 5.1 and gpt-6 at 53 each.
xai has launched grok 4.7, its latest model built on a larger base model with longer reinforcement learning for better output verification. it is priced at $2 per million input tokens and $6 per million output tokens, significantly lower than western frontier models. on the artificial analysis intelligence index v4.3.2, grok 4.7 scores 46, placing mid-pack, while claude fable 5.1 and gpt-6 lead with 53 each. in agentic coding tests on terminal-bench 4.0, grok 4.7 achieves only 26 percent, compared to 60 percent for gpt-6 astra and 55 percent for claude fable 5.1. the model is available through the grok api, cursor, and grok build.