SpaceXAI launches Grok 4.7 with improved self‑verification and longer context, priced at $2 per million input tokens and $6 per million output tokens (xAI)
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| Source: Techmeme | Original article
SpaceXAI launched Grok 4.7, a coding and knowledge model that improves self‑verification and longer context handling, costing $2 per million input tokens and $6 per million output tokens.
SpaceXAI has launched Grok 4.7, its latest large‑language model aimed at developers and knowledge‑workers. The company says the new version improves self‑verification of its outputs and can handle longer context windows than earlier releases. Pricing is positioned at $2 per million input tokens and $6 per million output tokens, which SpaceXAI touts as “twice as fast, at half the price of comparable models.” The firm markets Grok 4.7 as its most powerful offering for coding and general‑purpose tasks.
The upgrade matters because it intensifies competition in the high‑performance LLM market, where speed, cost and reliability are decisive for enterprise adoption. By emphasizing self‑checking capabilities, SpaceXAI is addressing a growing demand for models that can reduce hallucinations and improve result quality without external oversight. The lower price point also challenges incumbents such as OpenAI and Anthropic, whose pricing structures have been a barrier for large‑scale deployments.
As we reported earlier this week, OpenAI is already developing features to counter SpaceXAI’s “Grok Bot teammates,” signalling that the rivalry is moving beyond research into product‑level countermeasures. The next steps to watch include how quickly developers adopt Grok 4.7, whether the model’s self‑verification claims hold up in real‑world benchmarks, and how rival providers adjust pricing or introduce similar safety features. Industry observers will also be keen to see if SpaceXAI expands the model’s availability beyond its current token‑based pricing tier or integrates it into broader AI‑assistant ecosystems.
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