Grok 4.7
At a glance
- Price per 1M tokens (input)
- $2.00
- Price per 1M tokens (output)
- $6.00
- Context
- 500,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified September 25, 2026. Published September 25, 2026.
Grok 4.7 by xAI is designed for developers and technical teams building applications that require visual input analysis, automated workflow integration, and complex problem solving. It is well suited for tasks such as interpreting diagrams or charts, executing multi-step reasoning processes, and interacting with external systems through tool calling, which allows the model to invoke predefined functions to retrieve data or perform actions. xAI’s approach emphasizes alignment with real-world utility, focusing on models that can operate effectively in dynamic environments where understanding both language and visual context is necessary.
Specifications & pricing
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $6.00 |
| Cache read (per 1M tokens) | $0.50 |
| Context window | 500,000 tokens |
| Max output | 500,000 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 25, 2026. Official xAI pricing.
What Grok 4.7 would cost on your workload — run it through the cost calculator →
Where to try Grok 4.7 for free
- xAI offers a free chat — Grok (limited free access). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What types of tasks benefit most from Grok 4.7’s image understanding capability?+
Tasks such as analyzing technical schematics, interpreting data visualizations, processing document scans with mixed text and graphics, and supporting quality control in manufacturing or medical imaging workflows benefit from its ability to reason over visual content alongside language.
How does tool calling enable practical automation with this model?+
Tool calling allows Grok 4.7 to interact with external systems like databases, APIs, or software tools by executing predefined functions when needed, enabling it to retrieve live data, perform calculations, or trigger actions as part of a reasoning sequence without requiring constant human intervention.
How does Grok 4.7 differ from earlier versions in the Grok series?+
Compared to prior versions, Grok 4.7 improves integration between visual perception and logical reasoning, enhances reliability in multi-step tool use, and better handles ambiguous inputs by refining how it balances internal knowledge with external tool outputs.
What should users consider regarding limitations when deploying Grok 4.7?+
Users should assess the model’s performance on highly specialized visual domains not well represented in training data, ensure proper validation of tool outputs in critical applications, and account for potential latency when chaining multiple reasoning steps with external tool calls.
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