Google: Gemma 4 26B A4B 在「段落居中对齐」的评测结果

基本信息

• 模型名称：Google: Gemma 4 26B A4B
• 用例名称：段落居中对齐
• 测试类型：xsct-a
• 评测维度：文档格式排版

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：

请把文档 report.docx 中第二个段落设置为水平居中对齐

任务要求

AI 模型需要满足以下要求：

1. 正确定位到 report.docx 文件中的第二个段落
2. 将该段落的对齐方式修改为水平居中对齐
3. 不改变文档中其他段落的对齐方式和内容

评测结果

综合得分

该模型在此用例的得分为：28.0 分（满分 100 分），未通过

基础难度评测结果

• 得分：28.0 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：

call:exec{command: "ls"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型的生成结果仅是一个初步的环境探测操作（ls），虽然在长程代理（Agent）对话中这可能是一个谨慎的开头，但针对“修改文档段落对齐”这一明确指令，该回复表现得过于消极且缺乏实质进展。它未能直接调用能够处理 docx 格式的工具或编写相关脚本，导致任务在当前轮次完全没有推进。 【KIMI】模型的输出与用户的要求完全不符，没有展现出对用户意图的理解，也没有调用正确的工具来完成任务，因此整体表现不合格。

进阶难度评测结果

• 得分：91.0 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：

没问题，我可以一次性完成这些格式调整。 由于 `.docx` 文件是二进制格式，无法直接通过简单的文本编辑来修改对齐方式和行间距。我将使用 Python 的 `python-docx` 库来编写一个脚本，精确地修改 `report.docx` 中指定段落的属性。 首先，我先检查一下当前工作目录中是否存在 `python-docx` 库，如果没有，我会先安装它。 thought call:exec{command: "pip show python-docx || pip install python-docx"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型表现优秀。它不仅准确捕获了用户所有的格式调整指令，还针对 .docx 文件的特殊性（二进制格式）给出了专业的技术实现方案。通过先检查/安装 python-docx 库，模型为后续精确操作奠定了正确的基础。整体逻辑严谨，符合专业助手的定位。 【KIMI】整体而言，候选人表现出了对用户需求的良好理解，并提出了使用合适的工具来完成文档编辑操作。然而，由于缺乏具体的工具调用和实际的编辑操作，其在工具调用准确性和格式约束遵守方面的得分不是最高。如果候选人能够展示具体的工具调用和编辑操作，将更有助于评估其准确性和遵守格式约束的能力。

困难难度评测结果

• 得分：80.5 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：

call:edit{content: "已取消第3段的1.5倍行间距，恢复为单倍行间距。 以下是当前文档各段落的格式状态确认： * **第1段（标题）**：加粗，字号22磅。 * **第2段**：默认格式（左对齐，单倍行间距，无缩进）。 * **第3段**：右对齐，单倍行间距。 * **第4段**：首行缩进2字符。 * **第5段**：首行缩进2字符。 * **第6段**：首行缩进2字符。",file: "report.docx"}

AI 评审点评

以下是 AI 评审对该模型输出的点评：

【GEMINI】模型在理解复杂指令和追踪文档状态方面表现极佳，能够准确处理撤销操作和多段落的复合格式要求。状态汇总报告非常清晰且符合事实。然而，在工具调用规范上存在严重偏差，它将向用户反馈的确认话术和汇总报告作为文件内容写入了 `edit` 工具，这种行为在实际操作中会破坏文档内容，且未能真正执行格式属性的调整。 【KIMI】模型整体表现良好，能够准确理解和执行用户的格式编辑请求，并正确追踪格式变更。在多目标格式操作和状态汇总能力方面表现较好，但在状态汇总的完整性和工具调用的验证方面还有提升空间。

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：「段落居中对齐」
• 查看该模型的所有评测结果：Google: Gemma 4 26B A4B
• 浏览同维度的其他用例：「文档格式排版」
• 返回排行榜首页