# BigModel vs Network Tree

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. Network Tree records 0 monthly visits with — growth and Free pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [Network Tree](https://openaitools.app/tool/network-tree) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://apps.apple.com/us/app/network-tree-co/id6502738191 |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Productivity Tools, AI CRM, AI Search Engine |
| Pricing Model | Freemium | Free |
| Monthly Visits | 5,700,686 | 0 |
| MoM Growth Rate | -17% | — |
| Primary Market | China | Global |
| Direct Visits | 4,230,503 | 0 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | App |

## 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)

## Network Tree

Most professionals meet far more people than they can remember. Network Tree was built around that problem: it treats your contacts as a strategic asset rather than a static address book. After a one-time import, the app lets you group people by association — the event, company, or context where you met them — so your network stays readable as it grows.

Beyond storage, Network Tree adds the two features people actually need to maintain relationships: reminders and context. You can attach notes to each contact, then schedule nudges to reconnect at the right time. Because the notes travel with the reminder, you open the app knowing exactly what to say rather than staring at a blank message box.

Network Tree also includes an AI search layer, so instead of scrolling you can describe the kind of person you need — a designer you met at a conference, a recruiter in clean energy — and surface them quickly. It is a lightweight, mobile-first tool aimed at founders, salespeople, recruiters, and anyone who believes their network is their net worth.

**Pricing & Plans:** Free to download and use on iPhone, iPad, Mac (Apple Silicon), and Apple Vision. The App Store listing shows Stripe-based in-app purchasing, so some premium functionality may be offered as a paid upgrade.

- **Contact import and grouping:** Upload your contacts once and organize them into named groups based on where, when, or how you met each person.
- **AI search across your network:** Describe who you are looking for in plain language and let the app surface the right contact instead of scrolling through lists.
- **Follow-up reminders:** Schedule nudges to reach back out to a contact at a chosen time, so valuable relationships do not quietly go cold.
- **Notes attached to every contact:** Store the context of each relationship — conversations, preferences, next steps — right next to the person's profile.
- **Network visualization:** A visual view of your connections helps you see where people came from and how your network is structured.

**Strengths:** Free to download with no account barrier on iOS; Clean, lightweight personal-CRM workflow built for mobile; AI search is much faster than manually filtering a large contact list; Reminders linked to notes make follow-ups genuinely actionable

**Limitations:** iOS/iPadOS-first, so Android and web users are left out; No integration mentioned with LinkedIn, email clients, or external CRMs; As a young app with a small review base, long-term support is unproven

[Profile (Markdown)](https://openaitools.app/tool/network-tree.md)

## Frequently Asked Questions

### How do BigModel and Network Tree compare in monthly traffic?

BigModel has 5,700,686 monthly visits, while Network Tree has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Network Tree has —.

### 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. Network Tree: Free. Free to download and use on iPhone, iPad, Mac (Apple Silicon), and Apple Vision. The App Store listing shows Stripe-based in-app purchasing, so some premium functionality may be offered as a paid upgrade.

## 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 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Kula AI](https://openaitools.app/tool/kula-ai) | 492,326 | +4.2% | Paid, Contact for Pricing | The AI-native ATS that replaces your entire recruiting stack | [.md](https://openaitools.app/tool/kula-ai.md) |
| 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Offers highly cost-effective serverless inference for open models, but lacks BigModel's integrated enterprise knowledge base and agent tools. | [.md](https://openaitools.app/tool/deep-infra.md) |

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Source: https://openaitools.app/compare/bigmodel-vs-network-tree

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