# BigModel vs BooksAI (Booknotes)

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. BooksAI (Booknotes) records 2,537 monthly visits with -24.5% growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [BooksAI (Booknotes)](https://openaitools.app/tool/booknotes) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://getbooknotes.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Book Summarizer, AI Summarizer, AI Note Taker |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 2,537 |
| MoM Growth Rate | -17% | -24.5% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 985 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 0 | 6 |
| 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)

## BooksAI (Booknotes)

BooksAI, reached at getbooknotes.com, is a browser-based study and reading tool built around a simple idea: rather than reading a static digest someone else wrote, you should be able to generate the summary you actually need and then interrogate it. Search for a popular title or topic and the service produces a concise summary; from there you can ask follow-up questions, pull quotes, or get practical advice grounded in the book's ideas. If a title isn't in its library, you can supply your own text for the AI to analyze.

The product also leans into discovery. A recommendation flow lets you describe interests — business, psychology, history, science, productivity — and returns titles worth reading, and the homepage showcases dozens of sample summaries across those themes. Summaries are positioned as dynamic and personal rather than one-size-fits-all, which is the main differentiator BooksAI claims against static summary apps.

Access is freemium. New users get free credits to try summarizing and chatting; once those run out you can buy additional credits as one-time purchases or subscribe for unlimited credits. The site markets itself to students, teachers, researchers, and professionals who want to review large books faster, extract arguments and quotes, or prepare for exams and lessons.

**Pricing & Plans:** Freemium. Free credits on signup to try summaries and book chat; beyond that, one-time credit purchases or a subscription for unlimited credits. Exact prices are shown in-app after login.

- **Instant AI book summaries:** Generate a concise summary for any fiction or non-fiction title so you can grasp the main ideas without reading hundreds of pages.
- **Chat with any book:** Ask custom questions about a book's arguments, examples, or lessons and get answers grounded in its content, like conversing with the author.
- **Smart book discovery:** Search by title or describe a topic and receive AI-driven reading recommendations across business, psychology, history, science, and more.
- **Upload your own text:** If a book isn't in the built-in library, add your own document and have the AI summarize and analyze it.
- **Quotes and actionable takeaways:** Extract notable quotes and practical action items so a summary becomes something you can apply rather than just skim.

**Strengths:** Summaries are generated on demand and can be discussed, not just read; Supports both built-in titles and your own uploaded text; Discovery features help you find what to read next; Free credits make it easy to evaluate before paying

**Limitations:** Best value requires a subscription or repeated credit purchases; Summary quality depends on the underlying AI model and can still miss nuance; Non-fiction coverage feels stronger than fiction

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

## Frequently Asked Questions

### How do BigModel and BooksAI (Booknotes) compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while BooksAI (Booknotes) has 2,537. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; BooksAI (Booknotes) has -24.5%.

### 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. BooksAI (Booknotes): Freemium. Freemium. Free credits on signup to try summaries and book chat; beyond that, one-time credit purchases or a subscription for unlimited credits. Exact prices are shown in-app after login.

## 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 | [Knowt](https://openaitools.app/tool/knowt-com) | 4,183,953 | +5.4% | Free | Free AI flashcard and study tools for students | [.md](https://openaitools.app/tool/knowt-com.md) |
| 6 | [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) |
| 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 | [Blinkist](https://openaitools.app/tool/blinkist) | 1,633,056 | +19.3% | Freemium, Free Trial, Paid | Bite-sized book and podcast insights you can finish in 15 minutes | [.md](https://openaitools.app/tool/blinkist.md) |
| 9 | [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) |
| 10 | [Shortform](https://openaitools.app/tool/shortform) | 847,045 | -4.5% | Freemium | In-depth guides that help you actually master non-fiction | [.md](https://openaitools.app/tool/shortform.md) |

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Source: https://openaitools.app/compare/bigmodel-vs-booknotes

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