GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.
所有提供方：為該模型提供服務的每個上游都支援。部分提供方：取決於處理請求的上游。預設值：未設定時傳送的值。
| 參數 | 提供方 | 預設值 |
|---|---|---|
| frequency_penalty | 部分提供方 | 預設不傳送 |
| include_reasoning | 所有提供方 | - |
| logit_bias | 部分提供方 | - |
| logprobs | 部分提供方 | - |
| max_tokens | 所有提供方 | - |
| min_p | 部分提供方 | - |
| parallel_tool_calls | 部分提供方 | - |
| presence_penalty | 部分提供方 | 預設不傳送 |
| reasoning | 所有提供方 | - |
| reasoning_effort | 所有提供方 | - |
| repetition_penalty | 部分提供方 | 預設不傳送 |
| response_format | 部分提供方 | - |
| seed | 部分提供方 | - |
| stop | 部分提供方 | - |
| structured_outputs | 部分提供方 | - |
| temperature | 所有提供方 | 1 |
| tool_choice | 部分提供方 | - |
| tools | 所有提供方 | - |
| top_k | 部分提供方 | 預設不傳送 |
| top_logprobs | 部分提供方 | - |
| top_p | 所有提供方 | 0.95 |
