Grok 4.7
Grok 4.7 is xAI's flagship for coding, agentic tasks and knowledge work, succeeding Grok 4.6. It is strongest on long-running software engineering tasks and on verifying its own work before handing it back, and it pairs a 500,000-token context window with an unusually large 450,000-token output ceiling.
Technical Specifications
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What is Grok 4.7?
Grok 4.7 is the current top of xAI's line and a direct successor to Grok 4.6. It is aimed at engineering and agentic work rather than chat: long-running software tasks, code that has to be checked before it is returned, and knowledge work that spans large documents. It accepts text, images and files, and its 450,000-token output ceiling means a long diff or an extended report arrives in one response.
Features & Capabilities
Long-Running Engineering
Built for tasks that stretch over many steps without losing the thread.
Self-Checking
Verifies its own output before returning it rather than guessing.
500K Context
Half a million tokens - large repositories and document sets.
450K Output
Among the largest output ceilings of any current model.
Knowledge Work
Reasoning over dense material rather than just generating text.
Text, Image and File Input
Screenshots and documents beside the prompt.
Who Is Grok 4.7 For?
Agentic Coding
Agents that edit, test and iterate over long runs.
Verification Work
Reviewing code or claims and checking them rather than trusting them.
Large Document Sets
Half a million tokens of material held at once.
Long Generated Deliverables
Reports and diffs up to 450K tokens in one pass.
Grok 4.7 Pricing
- $2.00 per million input tokens, $6.00 per million output tokens
- Output priced well below comparable flagship models
- Run it from your Hoodgen free credits, no credit card required
- Higher allowances on Hoodgen AI paid plans
What Makes Grok 4.7 Different?
Grok 4.7 competes on two axes rather than one. The first is self-verification: the model is tuned to check its own work, which matters more than raw benchmark scores in agentic loops where an unchecked mistake propagates. The second is the output ceiling - 450,000 tokens, far above the 128K that most frontier models allow.
A 500,000-token context window is smaller than the 1M offered by Gemini, Muse and the Claude 5.5 tier, and that is the honest tradeoff. In practice half a million tokens covers a large repository or a substantial document set, and the larger output allowance often matters more than the extra input room.
Output at $6 per million tokens is aggressively priced against comparable flagships, which makes Grok 4.7 a reasonable default for coding agents that generate a lot of text and check it. It is the successor to Grok 4.6, so the migration is a drop-in one.
Grok 4.7 Performance & Pricing
Grok 4.7 is a direct successor to Grok 4.6 and competes on output size and self-verification rather than on context length.
What Can You Do With Grok 4.7?
Grok 4.7 suits work where the model should check itself and the result is long. It is a strong default for coding agents and for tasks that produce a substantial deliverable at the end.
Best Use Cases
- Coding agents that run for a long time
- Generating and reviewing long diffs
- Verification passes over existing code
- Producing extended reports in one response
- Reading large document sets and answering from them
Grok 4.7 Privacy & Data Policy
Grok 4.7 is developed by xAI and served through OpenRouter. Prompts and completions are processed under xAI terms.
As with any third-party model, avoid pasting secrets or personal data. Hoodgen AI keeps cheaper and free alternatives on the same account so you can route sensitive work elsewhere without losing your place.
Grok 4.7 vs Other Models
Frequently Asked Questions
Built to check its own work
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