Zhipu: glm-4.7
GLM-4.7 is Zhipu AI's 2026 flagship model, featuring a 355B parameter Mixture-of-Experts (MoE) architecture. Its signature innovation is the "Interleaved Thinking" system, which enables the model to reason before every response and tool call, ensuring unparalleled instruction adherence. It has gained fame as the premier engine for "Vibe Coding," capable of translating vague creative descriptions into aesthetically superior, production-ready UI/UX. Ranking top among open-weight models on SWE-bench, it rivals proprietary giants like Claude 3.5 Sonnet in autonomous software engineering and complex agentic workflows.
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
Uptime
Performance
Usage & Ranking
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 | All providers | Not sent by default |
| include_reasoning | All providers | - |
| logit_bias | All providers | - |
| max_tokens | All providers | - |
| min_p | All providers | - |
| presence_penalty | All providers | Not sent by default |
| reasoning | All providers | - |
| repetition_penalty | All providers | Not sent by default |
| response_format | All providers | - |
| seed | All providers | - |
| stop | All providers | - |
| structured_outputs | All providers | - |
| temperature | All providers | 1 |
| tool_choice | All providers | - |
| tools | All providers | - |
| top_a | Some providers | - |
| top_k | All providers | Not sent by default |
| top_p | All providers | 0.95 |