Tasks and inputs
Grok 4.7 is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Grok 4.7 is a hosted model for coding, knowledge work and agents, with text and image input and text output.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Grok 4.7 is a hosted model for coding, knowledge work and agents, with text and image input and text output.
The API documents a 500,000-token context window and four reasoning levels: low, medium, high and xhigh. High is the default. Keep this setting fixed when comparing response time and accepted-task cost; otherwise you may be measuring different amounts of generated reasoning.
Function calling and structured output support applications that need more than a conversational answer. Validate tool arguments and the returned object against your own schema. An answer that looks like JSON still needs to satisfy the fields, types and business rules your application expects.
Grok does not gain live knowledge merely because it can connect to search. Enable the relevant search tools when current facts matter, and inspect the cited pages. Keep a supplied-document test separate from a web-search test so you can tell whether a mistake came from retrieval or interpretation.
Base rates are $2 input and $6 output per million tokens, with a $0.50 cached-input rate. Requests exceeding 200,000 tokens have a separate higher-context schedule. The model page currently says Batch API is unsupported.
For a coding evaluation, use ordinary bugs as well as difficult ones. Count passing tests, unintended changes and time spent reviewing the patch. Compare it with GPT-6.1 Sol on the same repository and tools.
Publisher source 1 Deployment limits and commercial terms belong to the selected checkpoint or API route.
Compare the model on the work you need to complete.
Grok 4.7 is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 500K context. The listed route charges $2.00 input and $6.00 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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