# BigModel vs BrowserAct

BigModel records 5,700,686 monthly visits with -17% month-over-month growth and Freemium pricing. BrowserAct records 99,679 monthly visits with -15.2% growth and Freemium, Paid, Credit-based, Contact for Pricing pricing.

| Metric | [BigModel](https://openaitools.app/tool/bigmodel) | [BrowserAct](https://openaitools.app/tool/browseract) |
| :--- | :--- | :--- |
| Website URL | https://bigmodel.cn | https://www.browseract.com |
| Categories | Large Language Models (LLMs), AI API, AI Models, AI Agent | AI Browsers, AI API, AI Web Scraping, AI Workflow |
| Pricing Model | Freemium | Freemium, Paid, Credit-based, Contact for Pricing |
| Monthly Visits | 5,700,686 | 99,679 |
| MoM Growth Rate | -17% | -15.2% |
| Primary Market | China | United States |
| Direct Visits | 4,230,503 | 36,247 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 0 | 1 |
| 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)

## BrowserAct

BrowserAct targets the unglamorous middle of web scraping: the part where selectors break, captchas appear, and layouts change. Rather than hand-writing scrapers or maintaining browser infrastructure, you describe the fields you want — product names, prices, stock status, ratings — and the platform's AI agent explores the target site, identifies where that data lives, and produces a tested, reusable Bot. Building runs on a credit model, and re-running a finished Bot costs a fraction of the build, with results delivered as a spreadsheet or streamed downstream.

Under the hood the platform manages the parts of scraping that usually cause the most maintenance pain. It handles dynamic content, residential proxy rotation, browser fingerprinting across dozens of attributes, automatic captcha solving for common challenges such as reCAPTCHA, Turnstile and DataDome, and 24/7 scheduled runs in a cloud browser runtime without local setup. Sessions can start fresh each time or persist a signed-in profile for sites that require authentication. When a site changes its layout, self-healing logic re-locates the data instead of failing the whole run.

BrowserAct positions itself both as a standalone tool and as a way to give your own AI agent a browser. Beyond scheduled scrapes and price monitoring with email alerts, it functions as a data source for agent workflows, exposing results through CSV, JSON, APIs, webhooks, and integrations with Make, n8n, Zapier, Google Sheets, Airtable, and MCP. Typical users include e-commerce teams tracking competitor pricing, analysts gathering customer and supplier research, and sales teams building lead lists from public business directories.

**Pricing & Plans:** Usage is credit-based, with a free trial and free plan to start; building a Bot consumes more credits than running an existing one. Paid tiers, credit volumes, and enterprise arrangements are listed on the pricing page and vary by scale.

- **Describe-and-build extraction bots:** State the fields you need in natural language and the AI agent selects an extraction approach and returns a tested, reusable Bot.
- **Managed scraping infrastructure:** Residential proxies, browser stealth with consistent device fingerprints, and automatic handling of dynamic pages are built in.
- **Automatic captcha and anti-bot handling:** Common challenges such as reCAPTCHA, Turnstile and DataDome are solved automatically so runs complete unattended.
- **Self-healing after layout changes:** When a site is redesigned, the Bot re-locates the requested data on its own instead of breaking the pipeline.
- **Scheduled runs and monitoring:** Run Bots 24/7 in the cloud, track prices or stock on a schedule, and receive email alerts when results change.

**Strengths:** No coding or browser infrastructure management required; Handles proxies, fingerprints, captchas and dynamic content automatically; Self-healing bots reduce the maintenance burden of long-term scraping; Broad output options including API, webhooks, MCP and popular no-code tools

**Limitations:** Credit consumption means heavy users need to monitor costs; Complex or unusually protected sites may still need manual tuning; Bot reliability ultimately depends on how stable the target site is

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

## Frequently Asked Questions

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

BigModel has 5,700,686 monthly visits, while BrowserAct has 99,679. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; BrowserAct has -15.2%.

### 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. BrowserAct: Freemium, Paid, Credit-based, Contact for Pricing. Usage is credit-based, with a free trial and free plan to start; building a Bot consumes more credits than running an existing one. Paid tiers, credit volumes, and enterprise arrangements are listed on the pricing page and vary by scale.

## 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 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 6 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 7 | [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) |
| 8 | [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) |
| 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 | [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) |

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

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