# Zhipu Qingyan (ChatGLM) vs Dot

Zhipu Qingyan (ChatGLM) records 5,119,422 monthly visits with -3.9% month-over-month growth and Freemium, Free pricing. Dot records 13,295 monthly visits with -13.1% growth and Freemium pricing.

| Metric | [Zhipu Qingyan (ChatGLM)](https://openaitools.app/tool/chatglm-cn) | [Dot](https://openaitools.app/tool/dot) |
| :--- | :--- | :--- |
| Website URL | https://chatglm.cn | https://getdot.ai |
| Categories | AI Chatbot, Large Language Models (LLMs), AI Image Generator, AI Video Generator | AI For Data Analytics, AI Data Mining, AI Predictions, AI Research Tool |
| Pricing Model | Freemium, Free | Freemium |
| Monthly Visits | 5,119,422 | 13,295 |
| MoM Growth Rate | -3.9% | -13.1% |
| Primary Market | China | United States |
| Direct Visits | 4,066,967 | 5,403 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 3 | 1 |
| Supported Platforms | Website | Website |

## Zhipu Qingyan (ChatGLM)

Zhipu Qingyan — often referred to internationally as ChatGLM — is Zhipu AI's consumer-facing AI workspace at chatglm.cn. It runs on the company's GLM large model family and presents itself not just as a chatbot but as an agent that understands a goal, breaks it into steps, calls the right tools and hands back a deliverable rather than a wall of text.

The platform bundles a wide range of capabilities into one account: conversational dialogue and web search, AI image and video generation, slide creation, document and data analysis, code assistance and voice interaction. Because Zhipu also publishes open-weight GLM models, the same underlying research shows up both in this hosted product and in developer-facing APIs.

The interface is primarily Chinese and tuned for Chinese-language tasks and domestic content, which makes it a strong fit for users working in that context. A free tier covers everyday chat and basic tools, with paid tiers for higher quotas and advanced models.

**Pricing & Plans:** Freemium with a free tier for everyday chat and standard tools, plus paid subscription tiers for higher limits and advanced model access.

- **Agentic task execution:** Describe an objective and the assistant plans steps, invokes tools and produces an actual deliverable rather than just advice.
- **Multimodal creation:** Generate images, short videos, presentations and written content from prompts inside the same workspace.
- **Web search and reading:** Pull in live search results and summarize long documents or pages to ground answers in current information.
- **Code and data assistance:** Get help writing code and analyzing datasets, useful for developers and analysts alike.
- **GLM model foundation:** Powered by Zhipu's in-house GLM models, the same research family also released as open-weight models for developers.

**Strengths:** Broad toolbox in one account: chat, search, image, video, slides and analysis; Strong Chinese-language understanding and locally relevant content; Free tier covers most everyday usage; Backed by Zhipu's own GLM model research

**Limitations:** Interface and content are primarily Chinese, which limits non-Chinese users; Advanced models and higher quotas require a paid plan; Some features are region-specific and may not work everywhere

[Profile (Markdown)](https://openaitools.app/tool/chatglm-cn.md)

## Dot

Dot connects to your data stack, including warehouses like Snowflake and BigQuery, dbt, and Slack, so anyone on the team can ask a plain-language question and get an answer without writing SQL. Each response includes the number, a chart, and the reasoning, including the query and sources used, so results can be traced and verified rather than taken on trust.

Beyond single questions, Dot handles root-cause analysis and automated reporting. It can explain why a metric moved by breaking the change into contributing factors, and it can send reports and threshold-based alerts only when something needs attention. Dot also includes a context agent you can train with instructions, examples, and business rules so that metrics match your organization's own definitions.

The platform emphasizes enterprise governance. Dot is SOC 2 Type II certified and GDPR compliant, performs annual audits, supports zero data retention on LLM providers, and keeps every query traced to a user. It is used by data-driven teams at companies such as Duolingo and Choco and is offered by Snowboard Software GmbH.

**Pricing & Plans:** Freemium and usage-based. A Free tier includes 300 one-time credits with access to Pro features and no credit card. Paid Pro and Team plans are billed monthly or annually (around $180/mo for Pro and $720/mo for Team on annual billing), plus a custom Enterprise tier. Answered requests consume roughly 4 credits each, and only usage is charged.

- **Ask in Slack, Teams, or email:** Team members ask questions in the tools they already use and get answers with numbers, charts, and sources.
- **Root-cause analysis:** Dot breaks down why a metric changed, attributing movement to contributing channels, segments, or factors.
- **Automated reports and alerts:** Schedule reports and threshold-based alerts that trigger only when a metric crosses a level you care about.
- **Context agent for definitions:** Train Dot with instructions, examples, and business rules so metrics follow your organization's definitions.
- **Enterprise-grade governance:** SOC 2 Type II, GDPR compliance, zero data retention on LLM providers, and full query tracing.

**Strengths:** Answers arrive in Slack, Teams, and email, matching how teams already communicate; Every answer shows its query and sources for verifiability; Trainable context agent aligns metrics with your own definitions; Strong security posture with SOC 2 Type II and GDPR compliance

**Limitations:** Accuracy depends on the quality and definitions of your underlying data; Usage-based credits can require monitoring as request volume grows; Full value depends on connecting a modern data warehouse and BI stack

[Profile (Markdown)](https://openaitools.app/tool/dot.md)

## Frequently Asked Questions

### How do Zhipu Qingyan (ChatGLM) and Dot compare in monthly traffic?

Zhipu Qingyan (ChatGLM) has 5,119,422 monthly visits, while Dot has 13,295. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Zhipu Qingyan (ChatGLM) has a month-over-month growth rate of -3.9%; Dot has -13.1%.

### How does pricing compare?

Zhipu Qingyan (ChatGLM): Freemium, Free. Freemium with a free tier for everyday chat and standard tools, plus paid subscription tiers for higher limits and advanced model access. Dot: Freemium. Freemium and usage-based. A Free tier includes 300 one-time credits with access to Pro features and no credit card. Paid Pro and Team plans are billed monthly or annually (around $180/mo for Pro and $720/mo for Team on annual billing), plus a custom Enterprise tier. Answered requests consume roughly 4 credits each, and only usage is charged.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Character.AI](https://openaitools.app/tool/character-ai) | 154,156,370 | +2.2% | Freemium | Provides engaging conversational roleplay with custom characters, but is not designed for general Chinese search and productivity tasks. | [.md](https://openaitools.app/tool/character-ai.md) |
| 2 | [Venice AI](https://openaitools.app/tool/venice-ai) | 25,088,401 | +23.8% | Freemium | Prioritizes private open-source text and image generation with developer APIs, but lacks consumer-focused Chinese assistant workflows. | [.md](https://openaitools.app/tool/venice-ai.md) |
| 3 | [OpenArt](https://openaitools.app/tool/openart) | 12,394,629 | +15.8% | Freemium, Free Trial | Specializes in diverse third-party image and video generation models, but offers less robust general conversational capabilities than ChatGLM. | [.md](https://openaitools.app/tool/openart.md) |
| 4 | [DeepAI](https://openaitools.app/tool/deepai-org) | 8,407,615 | +0.9% | Freemium | Offers versatile multi-modal generation tools in the browser, but lacks deep conversational Chinese language assistance capabilities. | [.md](https://openaitools.app/tool/deepai-org.md) |
| 5 | [Oreate AI](https://openaitools.app/tool/oreate-ai) | 1,911,584 | -27.5% | Freemium | Delivers an all-in-one workspace for content, presentations, and media generation, but lacks ChatGLM's tailored Chinese language reasoning. | [.md](https://openaitools.app/tool/oreate-ai.md) |
| 6 | [Hex](https://openaitools.app/tool/hex-tech) | 782,737 | +10.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | An agentic analytics platform that turns questions into governed, trusted answers | [.md](https://openaitools.app/tool/hex-tech.md) |
| 7 | [Julius AI](https://openaitools.app/tool/julius-ai) | 665,487 | +5% | Free Trial, Contact for Pricing | Chat with your data to get analysis, charts, reports, and slides | [.md](https://openaitools.app/tool/julius-ai.md) |
| 8 | [Dovetail](https://openaitools.app/tool/dovetail) | 238,937 | -5.1% | Contact for Pricing | AI-native customer intelligence platform that turns every customer conversation into context | [.md](https://openaitools.app/tool/dovetail.md) |
| 9 | [Aitubo](https://openaitools.app/tool/aitubo) | 157,700 | -16.1% | Freemium | Aggregates multiple generative media models in one place, but lacks the comprehensive assistant and search features of Zhipu. | [.md](https://openaitools.app/tool/aitubo.md) |
| 10 | [MultipleChat](https://openaitools.app/tool/multiplechat-compare-ai-responses) | 147,181 | -12.5% | Free Trial | Enables side-by-side comparison across multiple frontier AI models, but lacks ChatGLM's unified native Chinese assistant ecosystem. | [.md](https://openaitools.app/tool/multiplechat-compare-ai-responses.md) |

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Source: https://openaitools.app/compare/chatglm-cn-vs-dot

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)