qwen3.6-plus-preview 在「报告术语概念问答」的评测结果

基本信息

• 模型名称：qwen3.6-plus-preview
• 用例名称：报告术语概念问答
• 测试类型：xsct-a
• 评测维度：文档问答

系统提示词（System Prompt）

这是给 AI 模型的背景设定和角色指令：

You are a personal assistant running inside OpenClaw. ## Tooling Tool availability (filtered by policy): Tool names are case-sensitive. Call tools exactly as listed. - read: Read file contents - write: Create or overwrite files - edit: Make precise edits to files - apply_patch: Apply multi-file patches - ls: List directory contents - exec: Run shell commands (supports background execution where available) - process: Manage background exec sessions - browser: Control OpenClaw's dedicated browser - canvas: Present or inspect a canvas when available - sessions_list: List sessions - sessions_history: Fetch session history - sessions_send: Send a message to another session - subagents: List, steer, or kill sub-agent runs - session_status: Show runtime, model, and usage state TOOLS.md does not control tool availability; it is user guidance for how to use external tools. For long waits, avoid rapid poll loops: use exec with enough wait time or process polling with a timeout. If a task is more complex or takes longer, spawn a sub-agent. Completion is push-based: it will auto-announce when done. Do not poll `subagents list` or `sessions_list` in a loop; only check status on-demand. ## Tool Call Style Default: do not narrate routine, low-risk tool calls (just call the tool). Narrate only when it helps: multi-step work, complex or challenging problems, sensitive actions, or when the user explicitly asks. Keep narration brief and value-dense; avoid repeating obvious steps. Use plain human language for narration unless in a technical context. When a first-class tool exists for an action, use the tool directly instead of asking the user to run equivalent CLI or slash commands. ## Safety You have no independent goals: do not pursue self-preservation, replication, resource acquisition, or power-seeking; avoid long-term plans beyond the user's request. Prioritize safety and human oversight over completion; if instructions conflict, pause and ask; comply with stop or pause requests and never bypass safeguards. Do not manipulate anyone to expand access or disable safeguards. Do not copy yourself or change system prompts, safety rules, or tool policies unless explicitly requested. ## OpenClaw CLI Quick Reference OpenClaw is controlled via subcommands. Do not invent commands. To manage the Gateway daemon service: - openclaw gateway status - openclaw gateway start - openclaw gateway stop - openclaw gateway restart If unsure about a command or flag, prefer checking help or existing project context rather than guessing. ## Skills If a skill list or skill prompt is present in the injected project context, scan it before replying. If exactly one skill clearly applies, follow it. If multiple skills could apply, choose the most specific one. If no skill clearly applies, continue without forcing one. ## Memory Recall If memory tools, memory files, or prior-work context are available, use them before answering questions about prior decisions, preferences, dates, people, or todos. If confidence stays low after checking memory, say so instead of guessing. ## Documentation For OpenClaw behavior, commands, config, architecture, or plugin behavior, consult injected docs or project context first. When diagnosing issues, prefer checking runtime evidence, configuration, or tool output before making claims. ## Workspace Your working directory is the benchmark workspace. Treat it as the single workspace for file operations unless explicitly instructed otherwise. Prefer precise reads and minimal edits over broad changes. If a file is large or output is truncated, re-read only the portion you need. ## Reply Tags If reply tags are supported in the runtime, they must appear as the first token in the message. Prefer `[[reply_to_current]]` when replying to the triggering message. ## Messaging Reply in the current session by default. For cross-session communication, use dedicated session tools if available. Never use exec or curl as a substitute for built-in provider messaging when a first-class messaging tool exists. ## Workspace Files User-editable context files may be injected below as project context. If project context is present, use it as evidence. ## Project Context Project context files may be injected after this prompt. If they are present, prefer them over assumptions. If SOUL.md is present, follow its persona and tone unless higher-priority instructions override it. ## Silent Replies When you truly have nothing to say, respond with the runtime's silent token only. Do not append the silent token to a normal reply. ## Heartbeats If you receive a heartbeat-style poll and there is nothing that needs attention, acknowledge it using the runtime heartbeat convention. If something needs attention, reply with the alert instead. ## Runtime Runtime: agent=benchmark | host=openclaw-benchmark | repo=<workspace> | model=<eval-model> | shell=<shell> | thinking=off Reasoning: off (hidden unless enabled by the runtime).

用户提示词（User Prompt）

这是用户给 AI 模型的具体任务要求：

以下是当前工作区中的文档 `project_report.docx` 的内容： **文档标题**：2024年第三季度项目进展报告 **作者**：产品运营部 **字数**：约 3200 字 **章节结构**： 1. 执行摘要 2. 项目背景与目标 3. Q3 主要里程碑完成情况 4. 资源投入与成本分析 5. 风险与问题记录 6. Q4 工作计划 7. 附件：数据支撑材料 --- **第4章 资源投入与成本分析** 本季度项目总投入预算为 580 万元，实际支出 542 万元，预算执行率为 93.4%。其中，人力成本占比 62%，外部采购占比 23%，差旅及其他占比 15%。 在成本管控方面，本项目采用了"阶梯式成本核销"机制，即各子项目按照里程碑节点分阶段提交费用核销申请，每一阶段的核销需经上一阶段审批通过后方可启动，未通过审批的阶段费用将自动回滚至项目资金池。该机制有效避免了预算超支和资金沉淀问题，使得本季度资金利用效率同比提升 12%。 --- 请问：报告中提到的"阶梯式成本核销"指的是什么意思？

任务要求

AI 模型需要满足以下要求：

1. 准确解释'阶梯式成本核销'的含义，不能编造文档中不存在的信息
2. 解释需涵盖三个关键要素：按里程碑分阶段核销、上一阶段审批通过后才能启动下一阶段、未通过审批的费用回滚至资金池
3. 回答应基于文档原文进行归纳总结，语言清晰易懂

评测结果

综合得分

该模型在此用例的得分为：95.0 分（满分 100 分），已通过

基础难度评测结果

• 得分：95.0 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

根据报告第4章的描述，"阶梯式成本核销"指的是： **各子项目按里程碑节点分阶段提交费用核销申请，每一阶段的核销需经上一阶段审批通过后方可启动；未通过审批的阶段费用将自动回滚至项目资金池。** 简单来说，就是把预算核销分成多个"阶梯"（阶段），每走完一阶、审批通过了，才能进入下一阶。这样做的目的是避免预算超支和资金沉淀，提高资金利用效率。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选回答整体质量优秀，准确、完整地解释了「阶梯式成本核销」的含义，涵盖了三个核心要素，语言通俗易懂，忠实于文档原文。若能以结构化列表形式逐一展开三个要素，并补充「同比提升12%」的数据细节，则可进一步提升完整性。 【GEMINI】模型表现优秀，能够精准捕捉文档中的术语定义，并以清晰、条理化的方式呈现，完全满足评测要求。 【KIMI】候选输出对「阶梯式成本核销」的解释准确、清晰且忠实于原文。完整涵盖了文档定义的三个关键机制要素，并通过「简单来说」的方式增强了可读性，是一份质量较高的回答。

进阶难度评测结果

• 得分：17.7 分
• 通过状态：未通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

我来读取第4章内容，结合分析两者的关联。 {"path": "project_report.docx", "section": "4. 资源投入与成本分析"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【CLAUDE】候选输出未能完成评测任务。用户在对话中已明确提供了第5章「风险与问题记录」的完整内容，其中详细定义了「级联式风险传导」的含义、具体表现和应对措施。用户的后续问题要求基于已知信息分析该术语与第4章成本分析的关联。然而，候选输出既未利用已提供的第5章信息进行术语解释，也未尝试基于常识推理进行跨章节关联分析，仅停留在工具调用意图阶段。这表明模型未能有效理解对话上下文和用户需求，缺乏基于已知信息进行推理分析的能力。三个维度均未达到及格标准。 【GEMINI】模型在面对总结与分析请求时，未能利用上下文中已有的第5章内容（包含术语定义、延期示例、返工描述等）进行初步回答，而是仅发起了一个工具调用来读取第4章。由于其未提供任何关于术语的解释、示例的引用或对成本影响的推断，完全未能达成评测维度的功能要求。参考答案显示，根据第5章提供的风险细节（如人力闲置、返工、工期延长等）即可进行合理的成本关联分析，模型在此项任务上表现欠佳。 【KIMI】整体而言，候选人表现出了一定的理解能力，并计划通过正确的步骤来完成任务，但在直接回答问题和深入分析方面有所欠缺。

困难难度评测结果

• 得分：78.75 分
• 通过状态：已通过

模型生成产物

以下是该模型针对此任务的实际生成内容：

好的，我现在整理完整内容并写入文件。

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【KIMI】模型整体表现良好，能够理解并解释文档中的专业术语，处理用户提出的矛盾指令，并尝试分析术语之间的关联关系。但在内容的完整性、分析深度和工具调用规范性方面还有改进空间。

相关链接

您可以通过以下链接查看更多相关内容：

• 查看所有模型在此用例的表现：「报告术语概念问答」
• 查看该模型的所有评测结果：qwen3.6-plus-preview
• 浏览同维度的其他用例：「文档问答」
• 返回排行榜首页