# BigModel vs DHTMLX Chatbot

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. DHTMLX Chatbot records 52,781 monthly visits with -19.2% growth and Free pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [DHTMLX Chatbot](https://openaitools.app/tool/dhtmlx-chatbot) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://dhtmlx.com/docs/products/dhtmlxChatbot |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Chatbot, Large Language Models (LLMs), AI Agent, AI Developer Tools |
| Pricing Model | Freemium | Free |
| Monthly Visits | 5,700,686 | 52,781 |
| MoM Growth Rate | -17% | -19.2% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 27,300 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## BigModel

BigModel is Zhipu AI's developer-facing platform, offering API access to the company's GLM series of large language models and a broad set of multimodal capabilities. Instead of juggling separate vendors, teams can call text generation, vision-language understanding, OCR, speech recognition, speech synthesis, image generation, and video generation endpoints from one account and one set of credentials.

Beyond raw model access, the platform targets application builders. It includes an agent framework, MCP service support, knowledge-base tooling for retrieval-augmented generation, model fine-tuning workflows, and a model playground for quick testing in the browser. There are also adjacent offerings such as an AI coding assistant and visual/low-code building experiences aimed at teams that want to ship without heavy ML engineering.

For organizations with stricter requirements, BigModel supports private instance deployment and on-premise options, alongside token-based pay-as-you-go and enterprise contracts. This makes it a fit for both individual developers prototyping on a budget and enterprises that need data to stay inside their own infrastructure.

**Pricing & Plans:** BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page.

- **GLM text and multimodal APIs:** Unified access to GLM large language models plus vision, OCR, speech, image, and video endpoints through one account.
- **Agent and MCP support:** Build tool-using agents and expose or consume MCP services to connect models to external systems.
- **Knowledge base and RAG tooling:** Create managed knowledge bases and retrieval pipelines so models can answer with your own documents.
- **Fine-tuning and playground:** Tune models on your data and prototype prompts interactively in the browser before shipping.
- **Private and on-premise deployment:** Run models in a private instance or on your own hardware for data-residency and compliance needs.

**Strengths:** Broad model coverage, from LLMs to vision, speech, and video, under one platform; Officially backs the GLM family, so model documentation and updates are first-party; Supports private and on-premise deployment for strict data requirements; Includes agent, knowledge-base, and fine-tuning tooling beyond raw API access

**Limitations:** Pricing and documentation are primarily Chinese-first, which can slow English-only teams; Some enterprise capabilities require sales contact rather than transparent self-serve pricing; Token costs can grow quickly for high-volume multimodal workloads

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

## DHTMLX Chatbot

DHTMLX Chatbot solves a narrow but recurring problem: the chat UI around an LLM. Instead of hand-building message bubbles, typing indicators, and history panels, developers drop in a widget that already handles those pieces and focus on backend integration. It ships from the same team behind the DHTMLX JavaScript UI libraries, which gives it a consistent API style with the rest of the suite.

The widget offers four message display modes — blocks, bubbles, cards, and flow — along with a typewriter effect, markdown support, and a sidebar listing conversations with different agents. A read-only mode is available where the interface should present content rather than accept input. The bundle is small at roughly 65 KB, and the layout is responsive for mobile screens.

Because the backend contract is open, the widget is not tied to a single vendor. DHTMLX publishes integration examples for services such as ChatGPT, Claude, and Gemini, and notes it is open to other stacks. Being MIT-licensed, it can be embedded in commercial applications without a license negotiation, and technical help comes through the DHTMLX forum alongside full API documentation and runnable samples.

**Pricing & Plans:** The DHTMLX Chatbot widget itself is free and distributed under the MIT license, with a one-page download form. Paid DHTMLX offerings are separate, covering other components of the suite such as Gantt, Scheduler, and the UI library, which include a free 30-day trial.

- **Four message layouts:** Display messages as blocks, bubbles, cards, or flow, letting the chat match the surrounding product design.
- **LLM-agnostic backend:** Connect the interface to ChatGPT, Claude, Gemini, or any other model through your own server logic.
- **Markdown and typewriter effect:** Render formatted model output and stream responses with a configurable typing speed for a natural feel.
- **Multi-agent chat history:** Show a sidebar of conversations with different agents and step back through previous exchanges.
- **Small, mobile-ready bundle:** Around 65 KB, responsive on small screens, and available under the MIT license for commercial projects.

**Strengths:** MIT license allows commercial use without licensing discussions; Backend-agnostic, so you are not locked to one model provider; Very small footprint and responsive by default; Maintained by an established UI component vendor with docs and samples

**Limitations:** UI-only: you still build the backend, auth, and retrieval logic yourself; Fewer batteries-included features than full chatbot SaaS platforms; Some extras require reading the docs and samples rather than a config flag

[Profile (Markdown)](https://openaitools.app/tool/dhtmlx-chatbot.md)

## Frequently Asked Questions

### How do BigModel and DHTMLX Chatbot compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while DHTMLX Chatbot has 52,781. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; DHTMLX Chatbot has -19.2%.

### How does pricing compare?

BigModel: Freemium. BigModel follows a freemium, token-based model: new users typically receive free trial credits, then pay-as-you-go for API usage by tokens consumed. Larger volumes, private instance deployment, and on-premise installations are arranged through contact-for-pricing enterprise agreements. Always confirm current rates on the official pricing page. DHTMLX Chatbot: Free. The DHTMLX Chatbot widget itself is free and distributed under the MIT license, with a one-page download form. Paid DHTMLX offerings are separate, covering other components of the suite such as Gantt, Scheduler, and the UI library, which include a free 30-day trial.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Delivers exceptional open-weight reasoning performance at very low cost, but lacks BigModel's broad enterprise multi-modal agent building suite. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Provides industry-leading frontier intelligence and developer ecosystems, but lacks BigModel's specialized GLM architecture and native Chinese language optimizations. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Offers massive context windows and robust multimodal Gemini APIs, but differs in model architecture and regional enterprise tooling. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Aggregates hundreds of global models under one API endpoint, whereas BigModel provides direct native infrastructure for Zhipu's GLM models. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 6 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) |
| 7 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Specializes in serverless open-source model hosting and dedicated GPU clusters, but provides less native proprietary GLM model integration. | [.md](https://openaitools.app/tool/together-ai.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 10 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers ultra-fast inference speeds for open-weight models, but focuses less on proprietary enterprise agent building toolkits than BigModel. | [.md](https://openaitools.app/tool/fireworks-ai.md) |

---
Source: https://openaitools.app/compare/bigmodel-vs-dhtmlx-chatbot

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