GLM 4.7

Z.AI · glm family

Rank

Quality Score

900ms

Avg Response

+13%

Adaptation Gain

What Refrase Does

Here is exactly how Refrase optimizes prompts for GLM 4.7, rule by rule:

Nested object fix

Refrase restructures prompts to explicitly describe nested JSON object and array schemas, working around GLM's tendency to flatten or mishandle deeply nested structures.

English enforcement

Refrase adds explicit 'respond in English' instructions to prevent the model from switching to other languages, which some multilingual models do by default.

Before / After

See how Refrase transforms a generic prompt for GLM 4.7.

Original

Extract the key information from this document. Be accurate.

Adapted for GLM 4.7

Extract the key information from this document.
Return a JSON object where key_points is an array of objects, each with "topic" (string) and "details" (string).
Respond in English.

Try It

Your prompt134 chars

Optimized for glm-4.7

Click "Refrase It" or select a model to see the optimized prompt.