# BigModel vs Cleft

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Cleft records 1,710 monthly visits with -3.7% growth and Freemium pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Cleft](https://openaitools.app/tool/cleft-notes) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://www.cleftnotes.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Note Taker, AI Transcriber, AI Notes Generator, AI Summarizer |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 5,700,686 | 1,710 |
| MoM Growth Rate | -17% | -3.7% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 674 |
| 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)

## Cleft

Cleft is built for people whose thinking outruns their typing. Instead of forcing you into another note-taking system, it focuses on capture: hit record, talk naturally, and let the app extract the main points, action items, and a readable transcript. The workflow is deliberately minimal — talk, let Cleft find the structure, then choose the shape of your note.

The note style is adjustable like a camera dial. You can output a Structured note with clear sections and bullets, a Structured Prose version written as flowing paragraphs, or a Clean Transcript that stays close to what you actually said. Paid users can additionally save custom styles for formats they repeat often.

Cleft is tightly integrated with the Apple ecosystem and with the tools people already use. Finished notes can be sent to Notion, Apple Notes, Apple Reminders, Apple Journal, Obsidian, Bear, Craft, Capacities, NotePlan, Drafts, Ulysses, Logseq, iA Writer, Things 3, Todoist, and Zapier. Recordings are transcribed locally on the device, notes sync securely, and capture works offline — so you can take a voice note anywhere without Wi-Fi. It runs across iPhone, iPad, Mac, Watch, and CarPlay, and was developed explicitly with ADHD and other neurodivergent users in mind.

**Pricing & Plans:** Freemium pricing. A free tier covers core capture and note generation, while the paid tier adds extra capabilities such as custom saved note styles. See the app's pricing page for current plans and rates.

- **On-device transcription:** Your recording becomes text locally on your device, which keeps capture fast and reduces how much of your voice data has to leave your hardware.
- **Automatic structure extraction:** Cleft pulls the main points, decisions, and action items out of free-form speech, so a rambling voice memo becomes a note you can act on.
- **Switchable note styles:** Choose Structured, Structured Prose, or Clean Transcript from a dial-like picker, and save custom styles for formats you use again and again.
- **Deep app integrations:** Send finished notes straight to Notion, Apple Notes, Obsidian, Bear, Things 3, Todoist, Zapier, and more than a dozen other tools.
- **Capture anywhere, even offline:** Record and transcribe without Wi-Fi, from iPhone, iPad, Mac, Apple Watch, or even directly from CarPlay while driving.

**Strengths:** Removes the friction between having a thought and storing it; On-device transcription and offline capture make it usable in poor-connectivity situations; Wide export support for Notion, Obsidian, Apple apps, and task managers; Explicitly designed for ADHD and other neurodivergent thinking styles

**Limitations:** Requires an Apple device and sign-in, so there is no Android or web version; Voice-first design is a poor fit for people who prefer typing; Note quality depends heavily on how clearly you speak

[Profile (Markdown)](https://openaitools.app/tool/cleft-notes.md)

## Frequently Asked Questions

### How do BigModel and Cleft compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Cleft has 1,710. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Cleft has -3.7%.

### 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. Cleft: Freemium. Freemium pricing. A free tier covers core capture and note generation, while the paid tier adds extra capabilities such as custom saved note styles. See the app's pricing page for current plans and rates.

## 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 | [Fathom](https://openaitools.app/tool/fathom-2-0) | 5,620,385 | +0.2% | Freemium, Free Trial | AI notetaker that records, transcribes and summarizes meetings — bot-free | [.md](https://openaitools.app/tool/fathom-2-0.md) |
| 6 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/bigmodel-vs-cleft-notes

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