Z
Z.ai: z-ai/glm-4.7-flash
z-ai/glm-4.7-flash
200K context118.0K outReasoningTools
Released Jan 19, 2026Updated Nov 5, 2026
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Inputs used for the providers' own purposes
At least one provider of this model uses your inputs for its own purposes, for example to train AI models. Do not enter personal data of third parties or sensitive data. You can object to this use at any time in your account settings or via "Manage consents" in the chat.
Read the privacy policyPricing
Input price
$0.06/ 1M tokens
Output price
$0.40/ 1M tokens
Compatible endpoints openaiVendor Z.aiProvider Routerah
Uptime
Performance
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Usage & Ranking
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Supported parameters
All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.
| Parameter | Providers | Default |
|---|---|---|
| frequency_penalty | Some providers | - |
| include_reasoning | Some providers | - |
| logit_bias | Some providers | - |
| logprobs | Some providers | - |
| max_tokens | Some providers | - |
| min_p | Some providers | - |
| presence_penalty | Some providers | - |
| reasoning | Some providers | - |
| repetition_penalty | Some providers | - |
| response_format | Some providers | - |
| seed | Some providers | - |
| stop | Some providers | - |
| structured_outputs | Some providers | - |
| temperature | Some providers | - |
| tool_choice | Some providers | - |
| tools | Some providers | - |
| top_k | Some providers | - |
| top_logprobs | Some providers | - |
| top_p | Some providers | - |