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AI 对话助手Chat assistants

通用 AI 对话助手——网页入口的多模型对话产品,国产与国际阵营都收。八维按消费级读法:背后模型是否披露、能不能选档、历史与记忆机制、账户数据用途与训练开关、产物商用条款。General AI chat assistants — multi-model web chat products, Chinese and international alike. The eight axes are read the consumer way: whether the model behind it is disclosed, whether you can pick tiers, how history and memory work, what your account data is used for, and what the terms say about commercial use.

21 个对象objects 8 个固定维度fixed dimensions 1 个已完整核验fully verified 最后核验Last checked 2026-11-03
  1. 本站按 10 大类收录 AI 产品。编程、对话、图像、视频、音频、研究、自动化、框架、MCP 工具、本地运行器——每类都有明确的收录标准,写在各大类的目录页里。This site files AI products into 10 categories. Coding, chat, image, video, audio, research, automation, frameworks, MCP tools and local runners — each with explicit admission criteria, written on the category page itself.
  2. 大类看目录,形态看字段。一个产品属于哪一类由收录边界决定;它怎么装进你的工作流(IDE / CLI / 厂商云 / 框架 / MCP…)是另一根独立的轴。Category comes from the shelf, form from a field. Which category a product belongs to is decided by admission boundaries; how it installs into your workflow (IDE / CLI / vendor cloud / framework / MCP…) is a separate axis.
  3. 每条档案都是核验快照。字段逐条挂官方出处与核验日期,本站不实测、不排名,未知就写未知。Every entry is a verification snapshot. Each field carries an official source and a checked date; we run no benchmarks, publish no rankings, and write "unknown" when it is unknown.

全部对象All objects

按统一坐标系排列。点开任一对象可看到 模型与开放条件 / 运行位置 / 本地文件 / 关机后的任务 / 工具与扩展 / 上下文与记忆 / 权限与限制 / 适合什么任务 的完整记录、证据链接与未知项清单。Everything on one coordinate system. Open any object to see its full record across Model & openness / Where it runs / Local files / Tasks after shutdown / Tools & extensions / Context & memory / Permissions & limits / Best for, with source links and a list of unknowns.

智谱清言是「长文档解析 + 知识库检索」的国产对话产品:GLM 开源权重同族可选本地跑, 首批备案(2023-08-31);Zhipu Qingyan (ChatGLM) is the domestic chat product built on

部分核验Partly verified 详情 →Details →

OpenAI 的通用对话助手:网页/应用/桌面全端覆盖,模型家族按档位分流, 数据训练开关是它最常被误读的一行条款。OpenAI’s general-purpose chat assistant: web, apps and desktop

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重长文与写作质量的通用对话应用:记忆做成可逐条编辑的清单, Cowork 线把「关机续跑、定时任务」写进了官方 releasA general chat app strong on long-form and writing quality: me

已核验Verified 详情 →Details →

DeepSeekDeepSeek Chat

深度求索DeepSeek

DeepSeek 是「推理向问答 + 官方模型文档可回溯」的国产对话产品:云端对话与 API 文档同族, 开源权重线在站外可DeepSeek is the domestic chat product built on reasoning-first

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豆包Doubao

字节跳动ByteDance

中文日常问答与文生图的国产主力:App 训练开关自助可关, 「App 默认可能训练、API 默认不训练」是两条线相反口径、最The domestic workhorse for everyday Chinese Q&A and text-to-im

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GrokGrok

xAI

接 X 实时信息的通用对话助手:搜索与公开帖子检索是核心差异点, 「未登录可能没有退出训练的选项」与「X 内是另一套条款」是The general chat assistant wired into X's live information: se

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海螺AIHailuo AI

MiniMax(稀宇科技)MiniMax (Xiyu Jizhi)

海螺AI 是 MiniMax 的多模态创作消费入口(对话在 /chat,官网主打视频/图片/音频创作线): 自研 H 系列由Hailuo AI is MiniMax's consumer multimodal-creation entry (cha

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HuggingChatHuggingChat

Hugging Face

HuggingChat 是「只用开源模型」的聚合对话产品(HF 出品,当日 137 个模型+Omni 自动路由): 前端 cHuggingChat is the "open-source models only" aggregator chat p

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KimiKimi

月之暗面 Moonshot AIMoonshot AI

中文长文档对话的主力:K3/K2.7 Code/K2.6/K2.5 模型家族官方产品线清晰, 「退出训练要走客服登记、账号级The workhorse for long Chinese-document chat: the K3/K2.7 Code

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Le ChatLe Chat

Mistral AI

Le Chat 是 Mistral AI 的对话产品(chat.mistral.ai):主轴是自家 Mistral 模型, Le Chat is Mistral AI's chat product (chat.mistral.ai): the ma

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ManusManus

Manus AI(Monica 团队)Manus AI (Monica team)

Manus 是「整段任务扔给云端沙箱」的通用任务 agent:云 VM 里执行代码/浏览/产出/发布(manus.spaceManus is the general-task agent you hand whole tasks to in a c

部分核验Partly verified 详情 →Details →

Meta AI 是 Meta 的对话助手(meta.ai + 嵌入 WhatsApp/IG/FB/Messenger): LMeta AI is Meta's chat assistant (meta.ai + embedded in WhatsA

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Microsoft Copilot 是 Windows/Edge/Bing 生态的免费对话入口:联网检索是底座能力, 模型由Microsoft Copilot is the free chat entry of the Windows/Edge/B

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PoePoe

Quora

Poe 是「一个账号用多家模型」的聚合对话产品(Quora 出品):GPT/Claude/DeepSeek/Veo 等经 PPoe is the "one account, many models" aggregator chat product

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阶跃AIStepFun (Step Chat)

阶跃星辰StepFun

阶跃AI 是阶跃星辰的国产对话产品(chat.stepfun.com,页内品牌「阶跃AI」): 自研 Step 系列、开放权Step Chat is StepFun's domestic chat product (chat.stepfun.com

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通义千问是阿里 Qwen 系的 C 端对话入口:多模态理解+文档解析,Qwen 开源权重同族可本地跑; 备案号经阿里云官方公Tongyi Qianwen is Alibaba's consumer entry to the Qwen family:

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文心Wenxin

百度Baidu

文心是百度生态里的对话入口(搜索/文库/网盘联动+联网检索):文心系模型主线不开源权重, 首批备案(2023-08-31);Wenxin is Baidu's ecosystem chat entry (Search/Wenku/Netdisk i

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讯飞星火iFlytek Spark

科大讯飞iFlytek

讯飞星火是语音底座突出的国产对话产品(讯飞自研星火系列,语音识别/合成/同传是传统强项): 教育/办公场景友好,首批备案(2iFlytek Spark is the domestic chat product with a strong voice

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腾讯元宝是泡在微信生态里的通用 AI 助手:搜公众号/视频号、评论区 @ 解读、联动腾讯文档与微信读书, 长文档精读是强项;Tencent Yuanbao is the general AI assistant living in the WeCh

部分核验Partly verified 详情 →Details →

本站目前是「核验快照」,还没有实测数据This site is currently a verification snapshot — no measured runs yet

下面每一个字段都能回到官方原文核对,但我们还没有在同一批任务上跑过这些工具。Every field below can be traced back to the official source, but we have not yet run these tools on the same batch of tasks. 实测协议已经写好(统一任务、统一验收、记录人工介入与返工次数),任务清单也已就绪,The measurement protocol is written (shared tasks, shared acceptance criteria, recording human interventions and rework counts) and the task list is ready, but it is 尚未执行。not yet run.

所以本站给的是能力边界与证据,不是「哪个更好用」的结论。So what this site gives you is capability boundaries and evidence, not a verdict on which is better to use. 真正的选型请用你自己的输入、预算与验收标准跑一遍。For an actual choice, run them yourself against your own inputs, budget and acceptance criteria.

8 个维度,每格都能回溯8 dimensions, every cell traceable

所有对象在同一坐标系下被描述。All objects are described on the same coordinate system. 点开任一对象,每一格下面都有官方源链接与核验日期——不认同可以自己回去查。Open any object and every cell carries an official source link and a checked date — disagree and verify it yourself.

01

模型与开放条件Model & openness

用谁的模型?能不能换第三方?多模型路由怎么配?Whose model does it use? Can you switch to a third party? How is multi-model routing configured?

02

运行位置Where it runs

本地 / 云端 / 混合?索引在本地还是云端?远程控制不等于云端执行。Local, cloud or hybrid? Is the index local or remote? Remote control is not the same as cloud execution.

03

本地文件Local files

能访问多大范围?未打开的大文件怎么读?符号级能力如何?How wide an area can it reach? How does it read large files you have not opened? How capable is it at the symbol level?

04

关机后的任务Tasks after shutdown

电脑关了还能继续跑吗?这是本地形态最常见的误解来源。Does it keep running once the computer is off? This is the most common misconception about local forms.

05

工具与扩展Tools & extensions

工具链有多宽:MCP · LSP · 插件 · Hooks · 自定义指令。How wide is the toolchain: MCP · LSP · plugins · hooks · custom instructions?

06

上下文与记忆Context & memory

索引算法、上下文窗口、会话恢复与分叉、跨会话记忆边界。Indexing algorithm, context window, session resume and fork, and the boundary of cross-session memory.

07

权限与限制Permissions & limits

沙箱与审批边界、凭据管理、数据是否出境、额度如何计算。Sandbox and approval boundaries, credential handling, whether data leaves your machine, and how quota is charged.

08

适合什么任务Best for

最擅长什么任务?什么情况下别用它?What tasks is it best at? When should you not use it?

全部数据一览All data at a glance

同一张表横向对比。点对象名进详情页看逐格证据。The same table side by side. Click an object name to see per-cell evidence.

对象Object形态Form厂商Vendor适合Best for核验日Checked状态Status
智谱CH智谱清言ChatGLM (Zhipu Qingyan) 网页服务Web service 智谱 AIZhipu AI 适合:中文长文档解析与检索问答、要 GLM 开源权重同族(云端不够就本地跑)、学生/职场文档场景。 不适合:要办公/社交生态联动、要完全脱离Fits: Chinese long-document parsing and retrieval, GLM weights cloud+l 2026-10-22 partial
ChCHChatGPTChatGPT 网页服务Web service OpenAI 适合「什么都能问一点」、接受云端处理的通用问答与写作。敏感内容先关训练开关或用临时聊天; 企业数据走 Team/Enterprise/APIGeneral Q&A, writing and file analysis where you accept cloud processi 2026-11-03 partial
ClCLClaude(对话应用)Claude (chat app) 网页服务Web service Anthropic 重长文阅读与写作质量的人。要「对话绝不进训练」就在设置里 opt out(注意安全审查例外); 要合同级数据条款走 API/EnterpriLong-document analysis, writing and content production. If training ma 2026-10-30 verified
DeDEDeepSeekDeepSeek Chat 网页服务Web service 深度求索DeepSeek 适合:中文推理向问答、要官方模型文档可回溯(API 文档质量在国产里突出)、开源权重与云端同族可选。 不适合:要后台长任务/工作流、要生态联Fits: Chinese reasoning Q&A, traceable official model docs, cloud + lo 2026-10-22 partial
豆包DO豆包Doubao 网页服务Web service 字节跳动ByteDance 中文日常问答与文生图。App 训练开关是自助的,API 默认不训练——两条线的条款不同,别混着理解。 要本机跑模型或自由换模型,它不合适。Everyday Chinese Q&A, text-to-image and voice chat scenarios; direct d 2026-10-30 partial
GeGEGemini(对话应用)Gemini (chat app) 网页服务Web service Google 已在 Google 生态里工作的人——联动是真优势。在意训练就关 Keep Activity; 在意机密内容按官方提醒不要输入。要本机跑模型People already working inside the Google ecosystem (Search, Workspace, 2026-10-21 partial
GrGRGrokGrok 网页服务Web service xAI 要接 X 实时信息的人。两处硬边界先确认:未登录可能没有退出训练的选项;在 X 内用是 X 的条款不是 xAI 的。 要合同级数据条款走 APeople who want X live information and accept cloud processing. If tra 2026-10-30 partial
海螺HA海螺AIHailuo AI 网页服务Web service MiniMax(稀宇科技)MiniMax (Xiyu Jizhi) 适合:视频+图片+音频+对话一体的国产多模态创作入口(MiniMax 生态)、要大陆直连可用。 不适合:要选模型、要本机跑模型、要脱离 MiFits: video+image+audio+chat in one domestic multimodal creation entry 2026-10-30 partial
HuHUHuggingChatHuggingChat 网页服务Web service Hugging Face 适合:只用开源模型、要一个账号横排 137 个开源档、要参考/自部署开源 chat 前端。 不适合:要用闭源旗舰模型(GPT/Claude Fits: open-source models only, side-by-side open-source comparison, re 2026-10-30 partial
KiKIKimiKimi 网页服务Web service 月之暗面 Moonshot AIMoonshot AI 中文长文档场景的主力。退出训练要走客服登记、不是自助开关——在意这一点要先确认; 企业数据走 Kimi Business。要本机跑模型,它不Chinese long-document parsing, retrieval and agent task scenarios; dom 2026-10-30 partial
LeLELe ChatLe Chat 网页服务Web service Mistral AI 适合:要 Mistral 系模型(欧洲厂商叙事、开放权重同厂联动)、要 Le Chat 的代码/Work 面。 不适合:要大陆直连(未备案)Fits: Mistral-family models and the European-vendor narrative, the cod 2026-10-30 partial
MaMAManusManus 网页服务Web service Manus AI(Monica 团队)Manus AI (Monica team) 适合:把「整段任务」(研究报告、数据整理、建站发布)异步交给云端 agent、要产物直接发布(manus.space)。 不适合:要选模型、Fits: whole-task outsourcing (research reports, data wrangling, site b 2026-10-22 partial
MeMEMeta AIMeta AI 网页服务Web service Meta 适合:已在 Meta 系应用(WhatsApp/IG)内工作、要免费对话+图像生成的用户。 不适合:要脱离 Meta 账号、要大陆直连(未备Fits: already working inside Meta apps (WhatsApp/IG), free chat + imag 2026-10-30 partial
MiMIMicrosoft CopilotMicrosoft Copilot 网页服务Web service 微软Microsoft 适合:Windows/Edge/Bing 生态用户、要免费联网问答、企业已在微软生态。 不适合:要模型自选、要脱离微软账号、大陆直连场景(见Fits: Microsoft-ecosystem users, free web-connected Q&A, enterprises a 2026-10-22 partial
PoPOPoePoe 网页服务Web service Quora 适合:一个账号横向用多家模型(含国产 DeepSeek 系)、要自建 bot 人设。 不适合:要免费无限量用旗舰模型(点数制)、要大陆直连(Fits: comparing many models side by side, building your own bots, dome 2026-10-30 partial
ReREReka Chat(Reka Playground / Edge Chat)Reka Chat (Reka Playground / Edge Chat) 网页服务Web service Reka AI, Inc. 适合:跟 Reka 自家模型线(Edge/Flash)+想经一家 API 横排精选开源档(DeepSeek/GLM/Qwen/Gemma);Fits: following the Reka model line (Edge/Flash), lining up curated op 2026-10-31 partial
阶跃ST阶跃AIStepFun (Step Chat) 网页服务Web service 阶跃星辰StepFun 适合:要国产对话+开放权重生态联动的用户(同厂商 HF 有权重可本地跑,见 models 站阶跃系列)、大陆直连可用。 不适合:要脱离阶跃账Fits: domestic chat linked with the open-weights ecosystem (weights ca 2026-10-30 partial
通义TO通义千问Tongyi Qianwen (Qwen Chat) 网页服务Web service 阿里巴巴Alibaba 适合:中文问答+多模态理解、要 Qwen 开源权重同族(云端与本地双选)、阿里云生态(百炼 API)衔接。 不适合:要办公/社交生态联动(钉Fits: Chinese Q&A with multimodal understanding, Qwen weights cloud+lo 2026-10-22 partial
文心WE文心Wenxin 网页服务Web service 百度Baidu 适合:泡百度生态(搜索/文库/网盘)的人、中文问答+联网检索、要文心系模型官方文档可回溯。 不适合:要本机跑模型(文心主线不开源权重)、要脱Fits: Baidu-ecosystem users, Chinese Q&A with web search, traceable ER 2026-10-22 partial
讯飞IF讯飞星火iFlytek Spark 网页服务Web service 科大讯飞iFlytek 适合:语音交互密集场景(讯飞语音底座强)、中文问答+解题答疑、教育/办公文档场景。 不适合:要本机跑模型(星火不开源权重)、要脱离讯飞账号。Fits: voice-heavy interaction, Chinese Q&A and problem-solving tutorin 2026-10-22 partial
腾讯TE腾讯元宝Tencent Yuanbao 网页服务Web service 腾讯Tencent 适合:泡微信生态的人(搜公众号/视频号、评论区 @ 解读、联动腾讯文档与微信读书)、长文档精读、免费额度。 不适合:要本机跑模型、要脱离腾讯Fits: WeChat-ecosystem users, long-document reading, free allowance. N 2026-10-22 partial

为什么这里不给总分排名Why there is no overall ranking

这不是省略,是方法上的明确取舍。This is not an omission but a deliberate methodological choice.

  • 缺统一实测,就不给分。跨工具的跑分口径不同——题目、预算、执行环境都不一样,A 的 90 分和 B 的 88 分不可比。No shared measurement, no score. Benchmarks across tools use different rules — different questions, budgets and environments. A 90 and a B 88 are not comparable.
  • 「未知」是合法答案。查不到就写「未知」并说明为什么,不用推测填充。缺信息本身也是信息。"Unknown" is a legitimate answer. If it cannot be found, we write "unknown" and explain why, instead of filling the gap with guesses. Missing information is itself information.
  • 来源链接、类型与核验日都在详情页里,可以逐条回去复核。The source link, its kind and the checked date are all on the detail page, so you can walk any of them back and re-check.
  • lifecycle 单独标注。核验日新不等于数据有效——上游归档后数据会失效,所以单独标 active / maintenance / archived。lifecycle is marked separately. A recent check date does not mean the data is still valid — it goes stale when upstream archives the repo, so active / maintenance / archived are tracked separately.
  • 不同族不混排。找现成的、自己搭的、接上与跑起来的是三种角色,坐标系不同;硬合成一张总表只会制造假的可比性。Families are not mixed. Ready-made tools, things you build yourself, and plug-in-and-run components are three different roles with different coordinate systems; forcing them into one master table would manufacture false comparability.

可信度标记怎么读How to read the confidence marks

详情页与上表都带Both the detail pages and the table above carry confidence,它反映, which reflects 本站数据的完整度how complete this site's data is,不是对产品的评价。, not a judgement of the product.

verified8 个维度均有官方源支撑,且核验日在 90 天内all 8 dimensions have official sources and were checked within 90 days
partial部分维度标为未知,或官方文档不可访问,或核验日超过 90 天some dimensions are marked unknown, or the official docs were unreachable, or checked over 90 days ago
stale官方已发布重大变化,本站尚未核验the vendor has shipped a significant change that this site has not re-checked

本站当前的完整度Current completeness on this site

数据层用Recheck this figure with node scripts/audit-gaps.mjs 可随时复核这个数字。. 下表实时计算(本页档案最后核验日 2026-11-03):Computed from current data; profiles last checked 2026-11-03:

大类Category已补齐Filled说明Meaning
通用对话General chat 100/168 消费级对话产品对模型路由、记忆机制披露少;帮助中心与官方公告是最可核验的渠道Consumer chat products disclose little about model routing or memory internals; help centers and official announcements are the most verifiable channels

全站合计 1372/1896 维度已补齐Site-wide 1372/1896 dimensions filled(72%)

剩余未补齐项分三类:官方未公开(索引算法、沙箱实现细节本就不对外说明)、需实测才能确定(大仓库表现、CI 无 TTY 行为)、客观渠道不可达。The remaining gaps fall into three kinds: not disclosed by the vendor (indexing algorithms, sandbox internals are simply not documented), requires measurement (behaviour on very large repositories, CI without a TTY), and unreachable through objective channels.

我们选择留白而不是填「已支持」——错误的成本最终由使用者承担。We chose to leave a blank rather than fill in "supported" — the cost of an error is ultimately borne by whoever uses it.

数据来源与复核方式Sources and how to re-check them

全部数据来自开源仓库All data comes from the open-source repository speculcom/ai-handbook(CC BY 4.0)。 (CC BY 4.0).

每个条目都是纯 Markdown + frontmatter,含维度记录、证据链接、核验日与可信度标记。仓库内含:Every entry is plain Markdown plus frontmatter, carrying dimension records and an evidence chain with links, checked dates and confidence marks. The repository contains:

  • tools/METHODOLOGY.md —— 方法论总纲与核心规则the methodology charter and core rules
  • tools/axes/ —— 每个维度的定义与判定标准(含正反例)the definition and decision criteria for each dimension (with positive and negative examples)
  • tools/SCHEMA.md —— 数据格式规范与构建校验规则the data-format spec and build validation rules
  • tools/protocols/<大类><category>/_protocol.md —— 实测协议(the measurement protocol (尚未执行not yet run,故本站暂无实测结论), so this site has no measured conclusions)

发现错误或有新证据,欢迎提 Issue 或 PR——每条修正都会注明依据与影响范围。Found an error or have new evidence? Open an issue or a PR — each correction notes its basis and blast radius.