How do their growth rates compare?

BigModel has a month-over-month growth rate of -17%; Skillry has +151,347.4%.

How does pricing compare?

BigModel: Freemium, Free Trial, Paid, Contact for Pricing. 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. Skillry: Flexible. Free Skills are available with a sign-in. Pro is $9.99/month (regularly $19.90) or $79/year (regularly $158), and a Founding Lifetime plan costs $169 one-time. All paid plans include Premium Skills, MCP/CLI/web install and ongoing updates; model and rendering costs are extra.

What are alternatives to BigModel and Skillry?

Other tools in related categories include ChatGPT, Google Gemini, DeepSeek, OpenAI Platform, Google AI Studio.

BigModel vs Skillry — Traffic (5.7M vs 28.78K), Pricing & Verdict

Open AI Tools

BigModel vs Skillry — Traffic (5.7M vs 28.78K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	BigModel	Skillry
Official Domain	bigmodel.cn	skillry.dev
Pricing Model	Freemium, Free Trial, Paid, Contact for Pricing	Flexible
Monthly Visits	5.7M (5,700,686)	28.78K (28,775)
MoM Traffic Delta	-1.17M (-17%)	+28.76K (+151,347.4%)
Primary Market & Share	🇨🇳 China (85.8%)	🇺🇸 United States (50.9%)
Direct Visits / mo	4.23M	8.1K
User Rating	5	5
Supported Platforms	Website	Website

BigModel

Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building

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.

Strengths & Pros

+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