GLM-4.7
GLM-4.7 is a 358 billion parameter Mixture-of-Experts language model from Z.ai optimized for agentic coding, complex reasoning, and long-horizon tasks. It features interleaved thinking, preserved thinking for multi-turn consistency, and turn-level thinking control. It supports a 200K token context window with 128K max output, tool calling, and achieves 73.8% on SWE-bench Verified.
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: textInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputFormat
stringdefault: TEXTSpecifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
Allowed values1 value
webhookURL
stringURISpecifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines how the API delivers task results.
Allowed values3 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
- Streams results token-by-token as they are generated.
Learn more1 resource
- Task PollingPLATFORM
includeCost
booleanInclude task cost in the response.
includeUsage
booleanInclude token usage statistics in the response.
numberResults
integermin: 1max: 4default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: zai-glm-4-7Identifier of the model to use for generation.
Learn more3 resources
seed
integermin: 0max: 4294967295Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
messages
array of objectsrequiredmin items: 1Array of chat messages forming the conversation context. The final message must use the user role.
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»systemPromptsystemPrompt
stringmin: 1max: 200000System-level instruction that guides the model's behavior and output style across the entire generation.
settings»temperaturetemperature
floatmin: 0max: 2step: 0.01default: 1Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity.
settings»topPtopP
floatmin: 0max: 1step: 0.01default: 0.95Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity.
settings»frequencyPenaltyfrequencyPenalty
floatmin: 0max: 2step: 0.01default: 0Penalizes tokens based on their frequency in the output so far. A value of 0.0 disables the penalty.
settings»maxTokensmaxTokens
integermin: 1max: 131072default: 32768Maximum number of tokens to generate in the response.
settings»minPminP
floatmin: 0max: 1step: 0.01default: 0Minimum probability threshold. Tokens with probability below this value are excluded from sampling.
settings»presencePenaltypresencePenalty
floatmin: 0max: 2step: 0.01default: 0Encourages the model to introduce new topics. A value of 0.0 disables the penalty.
settings»repetitionPenaltyrepetitionPenalty
floatmin: 0max: 2step: 0.01default: 1Penalizes tokens that have already appeared in the output. A value of 1.0 disables the penalty.
settings»stopSequencesstopSequences
array of stringsmin: 1Array of sequences that will cause the model to stop generating further tokens when encountered.
settings»thinkingLevelthinkingLevel
stringdefault: noneControls the depth of internal reasoning the model performs before generating a response.
Allowed values4 values
settings»topKtopK
integermin: 1default: -1Top-K sampling parameter that limits the number of highest-probability tokens considered at each step.