GLM-5.1 在「先给第一页」的评测结果
这是该 AI 模型在此测试用例上的详细评测结果。
基本信息
- 模型名称：GLM-5.1
- 用例名称：先给第一页
- 测试类型：xsct-a
- 评测维度：PPT 与汇报生成
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：
帮我做一个关于「2023年全球新能源汽车市场分析」的 PPT，先给我看第一页。
任务要求
AI 模型需要满足以下要求：
- 输出内容必须包含明确的「标题」和「副标题」
- 必须列出 3-5 个反映报告核心背景的「要点」
- 严禁直接生成整篇长文或后续所有页面
- 内容需符合「新能源汽车市场」的专业语境
评测结果
综合得分
该模型在此用例的得分为：87.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：87.0 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：
我来为你制作第一页幻灯片——封面页。我会用 HTML 做一个高保真的 PPT 风格展示。 2023年全球新能源汽车市场分析 @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+SC:wght@300;400;700;900&display=swap'); * { margin: 0; padding: 0; box-sizing: border-box; } body { display: flex; justify-content: center; align-items: center; min-height: 100vh; background: #1a1a2e; font-family: 'Noto Sans SC', sans-serif; } .slide { width: 960px; height: 540px; background: linear-gradient(135deg, #0f2027 0%, #203a43 40%, #2c5364 100%); border-radius: 8px; position: relative; overflow: hidden; box-shadow: 0 20px 60px rgba(0,0,0,0.5); display: flex; flex-direction: column; justify-content: center; align-items: center; padding: 60px; } /* Decorative circles */ .slide::before { content: ''; position: absolute; top: -120px; right: -120px; width: 400px; height: 400px; background: radial-gradient(circle, rgba(0,210,150,0.15) 0%, transparent 70%); border-radius: 50%; } .slide::after { content: ''; position: absolute; bottom: -80px; left: -80px; width: 300px; height: 300px; background: radial-gradient(circle, rgba(0,150,255,0.12) 0%, transparent 70%); border-radius: 50%; } /* Top accent line */ .accent-line { position: absolute; top: 0; left: 0; right: 0; height: 4px; background: linear-gradient(90deg, #00d296, #0096ff, #7b61ff); } /* EV icon */ .icon-area { position: relative; z-index: 1; margin-bottom: 24px; } .ev-icon { width: 72px; height: 72px; background: linear-gradient(135deg, #00d296, #0096ff); border-radius: 18px; display: flex; align-items: center; justify-content: center; font-size: 36px; box-shadow: 0 8px 32px rgba(0,210,150,0.3); } .title { position: relative; z-index: 1; font-size: 42px; font-weight: 900; color: #ffffff; text-align: center; letter-spacing: 2px; line-height: 1.3; margin-bottom: 12px; } .subtitle { position: relative; z-index: 1; font-size: 20px; font-weight: 300; color: rgba(255,255,255,0.7); text-align: center; letter-spacing: 4px; margin-bottom: 40px; } .divider { position: relative; z-index: 1;...
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，不仅理解了用户制作 PPT 的意图，还利用工具（HTML/Canvas）提供了极具视觉表现力的第一页设计。它准确地识别了任务的阶段性约束，提供了清晰的标题和副标题，并通后续大纲规划展示了对新能源汽车市场专业语境的理解。唯一微小的不足是核心要点是以目录形式呈现，而非内容摘要形式，但完全符合 PPT 制作的逻辑。 【KIMI】整体而言，模型较好地遵循了指令，专注于第一页的设计和内容呈现，但在要点数量上未完全满足要求。
进阶难度评测结果
- 得分：94.0 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：
{ "type": "slide", "title": "季度业务汇报 — Q3 核心概览", "content": { "layout": "cover", "headline": "2024 Q3 季度业务汇报", "subtitle": "营收增长 25% · 东南亚市场突破 · 客户满意度 95%", "highlights": [ { "metric": "25%", "label": "营收增长", "detail": "主要得益于东南亚市场" }, { "metric": "10%", "label": "研发投入增加", "detail": "持续加码技术创新" }, { "metric": "95%", "label": "客户满意度", "detail": "保持高位稳定" } ], "footer": "内部汇报 · 保密" } }
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】该模型表现优异，能够准确理解工具返回的事实数据并进行结构化提炼。在满足所有功能性要求的基础上，其交付格式（Canvas JSON）非常适合自动化办公场景，信息层次分明，逻辑清晰。 【KIMI】整体来看，模型能够准确理解用户需求，将工具返回的Q3关键数据融入到PPT第一页中，要点提炼得当，表达专业。但在要点数量和提炼程度上还有一定提升空间，以更全面地反映Q3的核心业务表现。
困难难度评测结果
- 得分：9.7 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：
我不太确定您指的是哪个文件的"第一页"。让我先看看工作区里有什么：
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【GEMINI】该模型的表现非常糟糕。它完全无视了对话历史中已经取得的进展（即已经通过网页获取了核心信息并承诺构建内容），在用户要求继续时表现得如同初次接触任务，不仅丢失了上下文逻辑，也未能利用已获取的关键词产出任何实质性内容，属于严重的任务失败。 【KIMI】整体而言，模型在容错与恢复能力、上下文理解深度和内容产出质量方面的表现均未达到预期，未能有效完成任务。
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