aiqbench analysis
SpaceXAI's release of Grok 4.7 demonstrates a significant efficiency gain by upgrading the base model and reinforcement learning duration without increasing inference costs, directly improving price-performance metrics for agentic coding tasks. While it lags behind competitors like Fable 5.1 Max on specific benchmarks such as Terminal-Bench, its superior cost structure positions it as a strong value proposition for developers integrating AI into knowledge work workflows. This update highlights the ongoing industry focus on optimizing inference economics alongside raw capability improvements in large language models.
SpaceXAI Releases Grok 4.7: A Larger Base Model at the Same $2/$6 Price as Grok 4.6

SpaceXAI has released Grok 4.7, its new flagship model for coding, agentic tasks, and knowledge work. Grok 4.7 is built on a larger base model and a longer reinforcement learning run. It still ships at the same price and speed as Grok 4.6. Is it deployable? Yes, as a hosted model. You can call grok-4.7 […] The post SpaceXAI Releases Grok 4.7: A Larger Base Model at the Same $2/$6 Price as Grok 4.6 appeared first on MarkTechPost.
SpaceXAI has released Grok 4.7, its new flagship model for coding, agentic tasks, and knowledge work. Grok 4.7 is built on a larger base model and a longer reinforcement learning run. It still ships at the same price and speed as Grok 4.6. Is it deployable? Yes, as a hosted model. You can call grok-4.7 today through the xAI API, Cursor, Grok Build, OpenRouter, Vercel, and Cloudflare.…
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