Grok 4.7 is xAI's frontier model launched on September 21, 2026 for coding, agentic tasks, and knowledge work, giving developers a 500K-token context window plus image input and configurable reasoning. It is the new flagship behind Grok Bot and is served through the xAI API, Cursor, Grok Build, and AWS Bedrock.
Core Features
- 500K context window with text and image inputs and text-only output, and no hard output-length cap.
- Configurable reasoning effort of low, medium, high (default), and xhigh for different cost or depth trade-offs.
- A Fast variant that doubles output speed at twice the token price, available inside Cursor and Grok Build.
- Strong coding posture: xAI cites 71.0 percent on DeepSWE v1.1, 64.0 on EEBench, and 38.0 on Terminal-Bench, and it routes through third-party harnesses and cloud platforms.
Use Cases
- Coding agents and long-running agent loops that need a large context and reliable tool use.
- Knowledge work that mixes documents with screenshots and diagrams for image-aware reasoning.
- Teams already on Cursor or xAI's API who want a cheaper frontier option than some rivals.
Pricing
On the xAI API it costs $2 per million input tokens, $0.50 cached input, and $6 output below 200K prompt tokens; above that it is $4, $1, and $12. The Fast variant is twice those rates. Bedrock lists Standard tier at $2.00 in and $6.00 out.
Pros and Cons
- Pros: 500K context and image input; flexible reasoning tiers; widely available across APIs and Bedrock.
- Cons: Lower output throughput than some peers on independent tests; Fast variant doubles cost.
Our Take: Best for teams already inside the xAI or Cursor ecosystem wanting a cost-effective frontier model; the trade-off is slower output throughput than some peers on independent benchmarks, so validate latency before a high-volume rollout. Compare it with other engines in our AI Models category.
