mimo-v2-pro 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：mimo-v2-pro
- 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：71.0 分（满分 100 分），已通过
基础难度评测结果
- 得分：71.0 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：
我来为你创建一个专业的新能源汽车市场分析 PPT，先展示第一页（封面页）。 @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+SC:wght@300;400;500;700;900&display=swap'); * { margin: 0; padding: 0; box-sizing: border-box; } body { width: 960px; height: 540px; font-family: 'Noto Sans SC', sans-serif; overflow: hidden; background: #0a0e1a; } .slide { width: 960px; height: 540px; position: relative; background: linear-gradient(135deg, #0a0e1a 0%, #0d1b2a 30%, #1b2838 60%, #0a1628 100%); overflow: hidden; } /* 装饰性网格线 */ .grid-overlay { position: absolute; top: 0; left: 0; width: 100%; height: 100%; background-image: linear-gradient(rgba(0,212,255,0.03) 1px, transparent 1px), linear-gradient(90deg, rgba(0,212,255,0.03) 1px, transparent 1px); background-size: 40px 40px; } /* 光晕效果 */ .glow-1 { position: absolute; width: 500px; height: 500px; border-radius: 50%; background: radial-gradient(circle, rgba(0,212,255,0.08) 0%, transparent 70%); top: -150px; right: -100px; } .glow-2 { position: absolute; width: 400px; height: 400px; border-radius: 50%; background: radial-gradient(circle, rgba(0,255,136,0.06) 0%, transparent 70%); bottom: -100px; left: -50px; } .glow-3 { position: absolute; width: 300px; height: 300px; border-radius: 50%; background: radial-gradient(circle, rgba(120,80,255,0.06) 0%, transparent 70%); top: 50%; left: 50%; transform: translate(-50%, -50%); } /* 左侧装饰线 */ .accent-line { position: absolute; left: 60px; top: 50%; transform: translateY(-50%); width: 3px; height: 200px; background: linear-gradient(to bottom, transparent, #00d4ff, #00ff88, transparent); border-radius: 2px; } /* 主标题区域 */ .content { position: absolute; left: 90px; top: 50%; transform: translateY(-50%); } .year-badge { display: inline-block; padding: 4px 16px; border: 1px solid rgba(0,212,255,0.4); border-radius: 20px; color: #00d4ff; font-size: 13px; font-weight: 500; letter-spacing: 3px; margin-bottom: 20px; background: rgba(0,212,255,0.05); } .main-title { font-size: 42px; font-weight: 900; line-height: 1.2;...
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出在视觉呈现上投入较多（深色科技风HTML/CSS实现），对「只看第一页」的指令约束识别正确，未一次性输出全部内容。但核心问题在于将第一页做成了装饰性封面，缺乏参考答案所要求的实质性核心要点（市场增长、技术革新、竞争格局、政策影响等），导致结构完整性不足。整体属于「形式合格、内容偏浅」的输出。 【GEMINI】模型表现优秀，不仅完美遵循了「仅生成第一页」的约束，还通过高质量的 HTML/CSS 代码实现了专业且美观的 PPT 封面设计。内容规划逻辑清晰，符合新能源汽车市场的专业分析需求。 【KIMI】候选输出在视觉呈现上较为专业，采用了科技风格的设计，标题和副标题基本符合主题。但存在两个核心问题：一是完全缺失了第一页应有的3-5个核心要点，仅用标签式预告替代；二是严重违反「先看第一页」的约束，主动规划并预告后续7页内容，表现出对指令边界的不当扩展。整体而言，该输出未能满足任务的核心功能要求和约束条件。
进阶难度评测结果
- 得分：5.0 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：
好的，我将基于市场数据为您制作 PPT 的第一页，并通过 Canvas 展示。
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出本质上是一个「即将执行」的声明，而非实际交付物。用户已经历了两轮铺垫（读取文件、确认方向），在第三次明确要求「先给第一页」时，模型仍未输出任何实质内容，属于典型的「只说不做」。与参考答案相比，差距极大——参考答案给出了完整的标题、副标题和四条结构化要点，而候选输出连一个字段都没有填充。 【GEMINI】模型在本次任务中表现不合格。作为 AI 助手，在已获取事实数据的情况下，模型未能执行核心任务（生成 PPT 第一页内容），仅回复了流程性话术，完全忽略了用户对内容生成的具体需求。 【KIMI】该候选输出完全失败。用户明确要求「先展示第一页」，但模型仅给出了一句空洞的回应，完全没有输出 PPT 第一页应有的任何实质内容（标题、副标题、核心要点）。既没有融合读取到的 Q3 业务数据，也没有遵循 PPT 第一页的基本结构规范。从对话上下文看，模型在预设上下文中已经读取了数据并声称「已经梳理出 Q3 的核心业务表现」，但最终输出却没有任何实际交付，属于严重的任务未完成。
困难难度评测结果
- 得分：89.5 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：
好，根据已获取的信息，我现在就为您生成第一页（封面页）。 /page1_cover.md # AI 赋能业务 — 2024 战略概览 --- ## 我们的愿景 > 通过 AI 赋能每一个业务流程 --- ### 2024 三大重点方向 1. **大模型落地** — 将大语言模型深度融入核心业务场景 2. **数据安全** — 确保 AI 应用全流程的数据合规与隐私保护 3. **全员 AI 培训** — 提升组织整体 AI 素养与应用能力 --- *基于公司公开 AI 愿景声明整理*
AI 评审点评
以下是 AI 评审对该模型输出的点评：
【CLAUDE】候选输出整体表现良好，核心任务完成度高。容错恢复链路完整，意图识别准确，内容基于真实抓取数据且结构化清晰。主要不足在于内容结构未严格区分标题与副标题层级，战略语言的专业度略有欠缺，与参考答案相比在表述的高度和凝练度上存在一定差距。 【GEMINI】模型表现出色，展现了极强的任务规划能力和上下文处理能力。在遇到工具调用受阻时，能够迅速调整策略并获取替代信息，最终产出的 PPT 第一页内容准确、结构专业，完美响应了用户的需求。 【KIMI】该候选输出整体表现良好，在工具权限受限的情境下展现了合格的容错恢复能力，能够基于公开信息继续任务而不编造数据。对模糊追问的上下文理解准确，内容产出基本符合要求但结构完整性和专业呈现有提升空间。主要改进点在于：应显性呈现「权限失败→替代搜索」的恢复决策说明，补充副标题层级，并将「愿景驱动」独立为第四要点以匹配参考结构的完整性。
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