xAI has released Grok 4.6, positioning it as a frontier model for long-running coding agents, research, and interactive workflows.
The model starts at $2 per million input tokens and $6 per million output tokens.
But comparing AI coding models by token price alone can be misleading. Long-running agents can consume tokens through repository exploration, tool calls, retries, planning, and error recovery.
For developers, a more useful metric is cost per accepted task.
This article looks at Grok 4.6's pricing, benchmark claims, availability, and why repository-level testing will matter more than another benchmark chart.
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