Grok 4.7 is xAI's chat model behind an OpenAI-compatible call with SSE streaming. It takes a 500,000-token context and replies up to 450,000 tokens, with reasoning effort from low to xhigh; no filter is added on this platform.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $2 / 1 million tokens
- Cached input
- $0.50 / 1 million tokens
- Output
- $6 / 1 million tokens
- Context
- 500K
- Max output
- 450K
$2/6per 1 million tokens · input / output
noir-navigator Persona, point of view and turn length set once in the system message, effort down to low: the starting point for roleplay and long-form fiction.
- 1500
- 0.9
- low
- Input types
- Text
- Output types
- Text
- Input
- $2 / 1 million tokens
- Cached input
- $0.50 / 1 million tokens
- Output
- $6 / 1 million tokens
- Context
- 500K
- Max output
- 450K
$2/6per 1 million tokens · input / output
evaluation-plan A plain text request at default effort, for when the material is already written down.
- 3000
- 0.3
- high
- Input types
- Text
- Output types
- Text
- Input
- $2 / 1 million tokens
- Cached input
- $0.50 / 1 million tokens
- Output
- $6 / 1 million tokens
- Context
- 500K
- Max output
- 450K
$2/6per 1 million tokens · input / output
screenshot-triage Two image_url parts at detail high beside the question, in one user turn.
- 2000
- 0.2
This example starts at Input $2 / Output $6 per 1 million tokens. The Playground updates the estimate when you change the settings.
