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.
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taskType
string required value: textInference -
Identifier for the type of task being performed
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taskUUID
string required UUID v4 -
UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
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webhookURL
string URI -
Specifies 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 more 1 resource
- Webhooks PLATFORM
- Webhooks
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deliveryMethod
string default: sync -
Determines how the API delivers task results.
Allowed values 3 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 more 1 resource
- Task Polling PLATFORM
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includeCost
boolean default: false -
Include task cost in the response.
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includeUsage
boolean default: false -
Include token usage statistics in the response.
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numberResults
integer min: 1 max: 4 default: 1 -
Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Generation Parameters
Core parameters for controlling the generated content.
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model
string required value: zai:glm@4.7 -
Identifier of the model to use for generation.
Learn more 3 resources
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seed
integer min: 0 max: 4294967295 -
Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
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messages
array of objects required min items: 1 -
Array of chat messages forming the conversation context.
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.-
settings»systemPromptsystemPrompt
string min: 1 max: 200000 -
System-level instruction that guides the model's behavior and output style across the entire generation.
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settings»temperaturetemperature
float min: 0 max: 2 step: 0.01 default: 1 -
Controls randomness in generation. Lower values produce more deterministic outputs, higher values increase variation and creativity.
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settings»topPtopP
float min: 0 max: 1 step: 0.01 default: 0.95 -
Nucleus sampling parameter that controls diversity by limiting the probability mass. Lower values make outputs more focused, higher values increase diversity.
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settings»frequencyPenaltyfrequencyPenalty
float min: 0 max: 2 step: 0.01 default: 0 -
Penalizes tokens based on their frequency in the output so far. A value of 0.0 disables the penalty.
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settings»maxTokensmaxTokens
integer min: 1 max: 131072 default: 32768 -
Maximum number of tokens to generate in the response.
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settings»minPminP
float min: 0 max: 1 step: 0.01 default: 0 -
Minimum probability threshold. Tokens with probability below this value are excluded from sampling.
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settings»presencePenaltypresencePenalty
float min: 0 max: 2 step: 0.01 default: 0 -
Encourages the model to introduce new topics. A value of 0.0 disables the penalty.
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settings»repetitionPenaltyrepetitionPenalty
float min: 0 max: 2 step: 0.01 default: 1 -
Penalizes tokens that have already appeared in the output. A value of 1.0 disables the penalty.
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settings»stopSequencesstopSequences
array of strings min: 1 -
Array of sequences that will cause the model to stop generating further tokens when encountered.
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settings»thinkingLevelthinkingLevel
string default: none -
Controls the depth of internal reasoning the model performs before generating a response.
Allowed values 4 values
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settings»topKtopK
integer min: 1 default: -1 -
Top-K sampling parameter that limits the number of highest-probability tokens considered at each step.