Add GLM-5.2 model pricing docs

docs/llmservice/models/glm-5-2.md

@@ -0,0 +1,47 @@
+# GLM-5.2
+
+## Overview
+
+GLM-5.2 is a GLM-family text foundation model developed by Z.AI and released on June 16, 2026. It is positioned for long-horizon coding and engineering tasks, with a 1M-token context window, 128K maximum output, and a `reasoning_effort` control for adjusting reasoning depth.
+
+## Key Features
+
+* **1M Context Window**: Supports up to 1M tokens of context for project-scale codebases, long documents, and multi-step engineering workflows.
+* **Long-Horizon Coding**: Z.AI reports 81.0 on Terminal-Bench 2.1 and 62.1 on SWE-bench Pro, with emphasis on project-level code understanding and sustained task execution.
+* **Configurable Reasoning**: Supports deep-thinking mode and the GLM-5.2-specific `reasoning_effort` parameter, with `high` and `max` reasoning levels for complex tasks.
+* **Agent and Tool Integration**: Supports function calling, streaming tool calls, structured output, context caching, and MCP-based tool/data-source integration.
+
+## Best Use Cases
+
+* **Project-Scale Codebase Work**: Reviewing, refactoring, migrating, or extending repositories where the model needs to retain architecture, module boundaries, API contracts, and engineering conventions.
+* **Long-Horizon Engineering Tasks**: Multi-file implementation, dependency-aware refactoring, SDK adaptation, debugging loops, and test-fix-verify cycles that require sustained progress.
+* **Tool-Using Agent Workflows**: Coding agents, internal automation, MCP-connected workflows, and structured-output systems that need reliable tool invocation and streamed tool-call arguments.
+
+## Capabilities and Limitations
+
+| Capability           | Description                                                                                                                                   |
+| :------------------- | :-------------------------------------------------------------------------------------------------------------------------------------------- |
+| **Reasoning**        | Supports deep-thinking mode and `reasoning_effort`; Z.AI positions it for complex engineering, debugging, and long-chain reasoning workflows. |
+| **Creative Writing** | Supports general text generation through the chat completion API, but official GLM-5.2 materials emphasize coding and engineering use cases.  |
+| **Coding**           | Z.AI reports Terminal-Bench 2.1 score of 81.0 and SWE-bench Pro score of 62.1, with focus on long-horizon coding-agent scenarios.             |
+| **Multimodal**       | Text input and text output. Vision and multimodal workflows are handled by separate Z.AI models such as GLM-5V-Turbo.                         |
+| **Response Speed**   | Official docs do not publish latency or tokens-per-second figures; streaming responses and streaming tool calls are supported.                |
+| **Context Window**   | 1M tokens.                                                                                                                                    |
+| **Max Output**       | 128K tokens.                                                                                                                                  |
+| **Tool Use**         | Function calling, streaming tool calls, structured output, context caching, and MCP integration.                                              |
+| **Multilingual**     | Suitable for Chinese and English developer workflows; official docs do not publish a GLM-5.2 language coverage benchmark.                     |
+
+### Known Limitations
+
+* Text-only model; image, video, and GUI-understanding tasks require a separate vision-language model such as GLM-5V-Turbo.
+* Very long contexts and 128K outputs can increase latency and cost; cap `max_tokens` and use context caching where applicable.
+
+## Credits Usage
+
+| Model | Input (Credits/Token) | Cache Write (Credits/Token) | Cache Read (Credits/Token) | Output (Credits/Token) | Web Search (Credits/Use) | Billing Notes |
+| :--- | --------------------: | --------------------------: | -------------------------: | ---------------------: | -----------------------: | :--- |
+| **GLM-5.2** | `1.40` | `1.40` | `0.28` | `4.40` | `-` | - |
+
+:::info Pricing note
+Prices shown in the documentation are B.AI standard reference prices for base billing purposes. B.AI may provide lower actual usage costs through top-up bonuses and account benefits. Specific prices, bonus Credits, and account benefits are subject to the platform display and final billing records.
+:::

docs/llmservice/pricing-and-usage.md

@@ -18,6 +18,7 @@ The platform uses a unified Credits system to measure and settle usage across al
 | MiniMax M2.7      |                  0.30 |                       0.375 |                       0.06 |                   1.20 |                        - |
 | Kimi K2.5         |                  0.59 |                        0.59 |                      0.177 |                   3.00 |                        - |
 | Qwen3.6-27B       |                  0.19 |                        0.19 |                       0.19 |                   2.99 |                        - |
+| GLM-5.2           |                  1.40 |                        1.40 |                       0.28 |                   4.40 |                        - |
 | GLM-5.1           |                  1.40 |                        1.40 |                       0.26 |                   4.40 |                        - |
 | GLM-5             |                  1.00 |                        1.00 |                       0.20 |                   3.20 |                        - |
 | DeepSeek V3.2     |                  0.29 |                        0.29 |                      0.145 |                   0.44 |                        - |

i18n/zh-Hans/docusaurus-plugin-content-docs/current/llmservice/models/glm-5-2.md

@@ -0,0 +1,47 @@
+# GLM-5.2
+
+## 概述
+
+GLM-5.2 是由 Z.AI 开发的 GLM 系列文本基础模型，于 2026 年 6 月 16 日发布。该模型面向长周期代码和工程任务，支持 1M tokens 上下文窗口、128K 最大输出，并提供 `reasoning_effort` 参数用于调整推理深度。
+
+## 核心特性
+
+* **1M 上下文窗口**：支持最高 1M tokens 上下文，适合项目级代码库、长文档和多步骤工程工作流。
+* **长周期代码能力**：Z.AI 报告其 Terminal-Bench 2.1 得分为 81.0，SWE-bench Pro 得分为 62.1，重点面向项目级代码理解和持续任务执行。
+* **可配置推理深度**：支持 deep-thinking 模式，以及 GLM-5.2 专用的 `reasoning_effort` 参数；复杂任务可使用 `high` 和 `max` 推理等级。
+* **Agent 与工具集成**：支持函数调用、流式工具调用、结构化输出、上下文缓存，以及基于 MCP 的工具和数据源集成。
+
+## 适用场景
+
+* **项目级代码库工作**：适合代码审查、重构、迁移或扩展仓库，需要模型保持架构、模块边界、API 合约和工程约定的场景。
+* **长周期工程任务**：适合多文件实现、依赖感知重构、SDK 适配、调试循环，以及测试、修复、验证一体化流程。
+* **工具调用型 Agent 工作流**：适合 Coding Agent、内部自动化、MCP 连接工作流，以及需要可靠工具调用和流式工具参数的结构化输出系统。
+
+## 能力与限制
+
+| 能力维度 | 说明 |
+| :--- | :--- |
+| **推理能力** | 支持 deep-thinking 模式和 `reasoning_effort`；Z.AI 将其定位于复杂工程、调试和长链路推理工作流 |
+| **创意写作** | 支持通过 chat completion API 进行通用文本生成，但官方 GLM-5.2 材料更强调代码和工程场景 |
+| **编程能力** | Z.AI 报告 Terminal-Bench 2.1 得分为 81.0，SWE-bench Pro 得分为 62.1，重点面向长周期 Coding Agent 场景 |
+| **多模态能力** | 文本输入和文本输出；视觉和多模态工作流由 GLM-5V-Turbo 等独立 Z.AI 模型处理 |
+| **响应速度** | 官方文档未公布延迟或 tokens-per-second 数据；支持流式响应和流式工具调用 |
+| **上下文窗口** | 1M tokens |
+| **最大输出** | 128K tokens |
+| **工具调用** | 函数调用、流式工具调用、结构化输出、上下文缓存和 MCP 集成 |
+| **多语言能力** | 适合中文和英文开发者工作流；官方文档未公布 GLM-5.2 语言覆盖基准 |
+
+### 已知限制
+
+* 该模型为文本模型；图像、视频和 GUI 理解任务需要使用 GLM-5V-Turbo 等独立视觉语言模型。
+* 超长上下文和 128K 输出可能增加延迟和成本；建议按需限制 `max_tokens`，并在适用场景使用上下文缓存。
+
+## 积分消耗
+
+| 模型名称 | 输入 (Credits/Token) | Cache Write (Credits/Token) | Cache Read (Credits/Token) | 输出 (Credits/Token) | 网页搜索（Credits/次） | 计费说明 |
+| :--- | --------------------: | --------------------------: | -------------------------: | -------------------: | ---------------------: | :--- |
+| **GLM-5.2** | `1.40` | `1.40` | `0.28` | `4.40` | `-` | - |
+
+:::info 价格说明
+文档价格为 B.AI 平台模型标准参考价，仅供基础计费说明使用。B.AI 可能会通过充值赠送及账户权益等方式，为用户提供更低的实际使用成本。具体价格、赠送积分及账户权益请以平台页面展示及最终账单为准。
+:::

i18n/zh-Hans/docusaurus-plugin-content-docs/current/llmservice/pricing-and-usage.md

@@ -18,6 +18,7 @@
 | MiniMax M2.7 | 0.30 | 0.375 | 0.06 | 1.20 | - |
 | Kimi K2.5 | 0.59 | 0.59 | 0.177 | 3.00 | - |
 | Qwen3.6-27B | 0.19 | 0.19 | 0.19 | 2.99 | - |
+| GLM-5.2 | 1.40 | 1.40 | 0.28 | 4.40 | - |
 | GLM-5.1 | 1.40 | 1.40 | 0.26 | 4.40 | - |
 | GLM-5 | 1.00 | 1.00 | 0.20 | 3.20 | - |
 | DeepSeek V3.2 | 0.29 | 0.29 | 0.145 | 0.44 | - |

i18n/zh-Hans/docusaurus-plugin-content-docs/current/sidebars.js

@@ -237,6 +237,7 @@ const sidebars = {
             'llmservice/models/gemini-3-1-pro',
             'llmservice/models/gemini-3-5-flash',
             'llmservice/models/gemini-3-flash',
+            'llmservice/models/glm-5-2',
             'llmservice/models/glm-5-1',
             'llmservice/models/glm-5',
             'llmservice/models/kimi-k2.5',

package.json

@@ -1,6 +1,6 @@
 {
   "name": "@x402-tron/docs",
-  "version": "1.2.27",
+  "version": "1.2.28",
   "description": "x402-tron documentation",
   "license": "MIT",
   "scripts": {

sidebars.js

@@ -234,6 +234,7 @@ const sidebars = {
             'llmservice/models/gemini-3-1-pro',
             'llmservice/models/gemini-3-5-flash',
             'llmservice/models/gemini-3-flash',
+            'llmservice/models/glm-5-2',
             'llmservice/models/glm-5-1',
             'llmservice/models/glm-5',
             'llmservice/models/kimi-k2.5',