GLM 5.3 is Z.ai's full-size long-context chat model behind an OpenAI-compatible call. It reads up to 1,048,576 tokens, replies up to 131,072, with reasoning effort up to max, 128 tool schemas per request and JSON output.
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
- $1.05 / 1 million tokens
- Cached input
- $0.195 / 1 million tokens
- Output
- $3.30 / 1 million tokens
- Context
- 1,048,576
- Max output
- 131,072
$1.05/3.30per 1 million tokens · input / output
contradiction-audit The case the window exists for: several documents at once, with the answer resting on a pair of passages far apart.
- 32000
- 0
- max
- Input types
- Text
- Output types
- Text
- Input
- $1.05 / 1 million tokens
- Cached input
- $0.195 / 1 million tokens
- Output
- $3.30 / 1 million tokens
- Context
- 1,048,576
- Max output
- 131,072
$1.05/3.30per 1 million tokens · input / output
incident-chain Mixed evidence - timeline, log, diff, transcript - reduced to one causal chain with citations.
- 16000
- 0.2
- high
- Input types
- Text
- Output types
- Text
- Input
- $1.05 / 1 million tokens
- Cached input
- $0.195 / 1 million tokens
- Output
- $3.30 / 1 million tokens
- Context
- 1,048,576
- Max output
- 131,072
$1.05/3.30per 1 million tokens · input / output
json-brief response_format plus temperature 0, which is what makes the reply safe to hand to a parser.
- 16000
- 0
- max
This example starts at Input $1.05 / Output $3.30 per 1 million tokens. The Playground updates the estimate when you change the settings.
