xAI 发布 Grok 4.7，价格低廉但基准成绩明显落后 Claude 与 GPT-6

埃隆·马斯克的 xAI 推出了 Grok 4.7，这是其迄今为止最强大的编码和知识工作模型。据公司称，它基于更大的基础模型，经过更长时间的强化学习训练，并设计为能够更好地验证自身输出。定价为每百万输入令牌 2 美元，每百万输出令牌 6 美元。这些费率更接近中国模型而非西方前沿模型，这可能有充分的理由。在独立的人工分析智能指数（Artificial Analysis Intelligence Index：https://artificialanalysis.ai/models/grok-4-7 (v4.3.2)），该指数结合了十个基准测试，Grok 4.7 得分 46，位列中等。Claude Fable 5.1 和 GPT-6 并列领先，各得 53 分。

在自主编码方面，差距更大。在 Terminal-Bench 4.0 上，Grok 4.7 仅达 26%，而 GPT-6 Astra 为 60%，Claude Fable 5.1 为 55%。即使是更便宜的 DeepSeek V4.1 Flash：https://the-decoder.com/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents/ 也以 27% 略胜一筹。该模型可通过 Grok API：https://console.x.ai/、Cursor：https://cursor.com/ 和 Grok Build：https://x.ai/build 使用。

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Elon Musk's xAI has introduced Grok 4.7, its most capable model yet for coding and knowledge work. It's built on a larger base model, trained with longer reinforcement learning, and designed to better verify its own output, according to the company. Pricing sits at $2 per million input tokens and $6 per million output tokens. Those rates are closer to Chinese models than Western frontier models, probably for good reason. On the independent Artificial Analysis Intelligence Index：https://artificialanalysis.ai/models/grok-4-7 (v4.3.2), which combines ten benchmarks, Grok 4.7 scores 46 and lands mid-pack. Claude Fable 5.1 and GPT-6 lead with 53 each.

The gap grows wider in agentic coding. On Terminal-Bench 4.0, Grok 4.7 hits just 26 percent, versus 60 percent for GPT-6 Astra and 55 percent for Claude Fable 5.1. Even the cheaper DeepSeek V4.1 Flash：https://the-decoder.com/new-deepseek-model-v4-1-flash-cuts-memory-needs-for-ai-agents/ edges past it at 27 percent. The model is available through the Grok API：https://console.x.ai/, Cursor：https://cursor.com/, and Grok Build：https://x.ai/build.

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