Grok 4.7 Pricing: Real Costs for Typical Workloads
Breaking down what you'll actually pay for Grok 4.7 compared to Claude Fable 5.1, GPT-6 Astra, and Kimi K3 across different usage patterns.
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Grok 4.7 from xAI carries a base rate of $1.6 per million input tokens and $4.8 per million output tokens, making it the most affordable option among the major models released in late 2026. For comparison, Claude Fable 5.1 and GPT-6 Astra both charge $10 input and $50 output, while Kimi K3 sits at $3 input and $15 output.
The pricing structure includes an important threshold: prompts under 200,000 tokens pay $2 per million input and $6 per million output, but crossing that boundary doubles the rate to $4 and $12 for all tokens in the request, not just those above the limit. This makes large-context operations significantly more expensive than the headline rate suggests.
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Cached input tokens cost $0.50 per million, one quarter of the standard input rate. For workflows that repeatedly reference the same large documents or codebases, this can reduce costs substantially. A project that processes 150,000 tokens of cached context with 10,000 tokens of new input and generates 5,000 tokens of output would pay roughly $0.18 per request at the lower tier rates.
Against the alternatives, Grok 4.7 remains cheaper even when the threshold penalty applies. A 250,000-token input with 10,000-token output costs approximately $1.29 with Grok 4.7 at the higher rate, compared to $3.00 with Kimi K3, $10.50 with Claude Fable 5.1, or $11.00 with GPT-6 Astra.
The previous version, Grok 4.6, offered slightly better rates at $2 input and $6 output without the published threshold structure, though it shared the same 500,000-token context window. For users staying well below 200,000 tokens per prompt, the practical cost difference between versions is minimal.
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