SpaceXAI Releases Grok 4.7 With Larger Model, Same Price

SpaceXAI has released Grok 4.7, its latest flagship model designed for coding, agentic tasks, and knowledge work. This new iteration is built upon a larger base model and has undergone a more extensive reinforcement learning run, focusing on tasks that require significant computational time to complete. Despite these enhancements, Grok 4.7 is being offered at the same price point and speed as its predecessor, Grok 4.6. The model is available for deployment as a hosted service through the xAI API and is integrated with platforms such as Cursor, Grok Build, OpenRouter, Vercel, and Cloudflare.

Under the hood, Grok 4.7 introduces four key changes compared to Grok 4.6. Firstly, it utilizes a new, larger base model, diverging from the architecture of Grok 4.6. Secondly, the reinforcement learning process was extended and focused on more challenging tasks, weighted towards problems that can take many hours to resolve. Thirdly, the model exhibits improved self-verification capabilities and enhanced long-context handling, allowing it to more meticulously review its own outputs. Lastly, Grok 4.7 includes native support for the Grok Bot harness, indicating it was specifically trained to understand and operate within this framework for conversational and knowledge-intensive applications.

The developer documentation for Grok 4.7 specifies a context window of 500,000 tokens and a knowledge cutoff date of May 2026. It supports text and image input, with text output, and offers reasoning effort levels of low, medium, high (default), and xhigh. The API specifications include standard API and Chat Completions, with tools such as function calling, web search, X search, and code execution.

In performance benchmarks, Grok 4.7 at xHigh effort is compared against Grok 4.6 at High effort, GPT-5.6 Sol Max, and Fable 5.1 Max. Vendor-reported scores indicate that Grok 4.7 outperforms Grok 4.6 across all measured categories. Notably, Grok 4.7 achieved a Terminal-Bench 4.0 score of 38.0%, a significant increase from Grok 4.6's 20.3%. The EEBench score for Grok 4.7 rose by 11 points to 64.0%, positioning it as the top performer in that specific benchmark among the compared models. The input price for Grok 4.7 is $2 per million tokens, and the output price is $6 per million tokens, mirroring the pricing of Grok 4.6. In contrast, GPT-5.6 Sol Max is priced at $4/$20 per million tokens for input/output, and Fable 5.1 Max at $10/$50 per million tokens.