Series navigation: 01 What is AI | 02 Machine Learning | 03 Deep Learning | 04 Neural Networks | 05 NLP
The AI ecosystem stacks two layers on top of each other: models provide the intelligence, and tools provide the interface. A lot of beginners mix these up because they can’t tell the layers apart. What’s the relationship between Claude Code and Claude? Can you use domestic Chinese models inside Claude Code? Which tool do you pick if you want to pay with WeChat? The answers to all of these live in understanding the two-layer architecture.
The Two Layers
Think of the AI ecosystem as two distinct layers. The bottom layer is the model — it handles reasoning, comprehension, and content generation. It’s the engine. The top layer is the tool — it handles the UI, feature integration, and user experience, wrapping the model’s capabilities into something everyday people can actually use. Training a model costs hundreds of millions to billions of dollars, but the model itself never faces end users directly. It gets called through APIs by tools, and the marginal cost per call is very low.
The model layer has these characteristics: it doesn’t interact with users directly, all reasoning and comprehension happens here, it’s the source of intelligence. The tool layer is the opposite: it faces users directly, providing chat interfaces, coding environments, document processing, and other concrete features. It calls one or more model APIs, doesn’t generate intelligence itself, and simply bridges the model’s capabilities to the user.
A restaurant analogy works well here. The model is the chef in the kitchen, deciding how the food tastes. The tool is the waiter in the dining room, handling service and delivery. Customers don’t walk into the kitchen to cook — they go through the waiter to enjoy the chef’s work. The chef’s skill sets the ceiling on flavor, and the waiter’s attitude and efficiency set the quality of the dining experience.
Major Models at a Glance
Let’s survey the main models on the market.
On the Chinese side, Moonshot’s Kimi is known for its ultra-long context window, supporting 2 million characters of input — great for long document reading and paper analysis. Zhipu AI’s GLM runs a dual open-source and closed-source track with strong academic roots, suited for technical research and enterprise deployment. Alibaba’s Qwen has solid Chinese language capabilities and an active open-source community. DeepSeek is fully open-source with standout performance in code and math reasoning at very competitive pricing. ByteDance’s Doubao does well in Chinese comprehension and multi-scenario adaptation, covering everyday conversation and office use cases. MiniMax has its own strengths in multimodal and voice interaction.
On the international side, Anthropic’s Claude is known for rigorous reasoning and strong coding ability, with a long context window that shines in programming and long document analysis. OpenAI’s GPT series has the most mature ecosystem, the most plugins and third-party integrations, and broad general-purpose coverage. Google’s Gemini natively supports multimodal input and integrates deeply with the Google ecosystem. Meta’s Llama is fully open-source, supports local deployment, and is the go-to choice for private deployments and technical research.
One key point needs clearing up: a model is not a product. You can’t use a model directly — you have to access it through some tool. Saying “I want to use GPT-4” is imprecise because GPT-4 is a model, not a product. The correct statement is “I want to use ChatGPT” — ChatGPT is the tool that hosts GPT-4.
Major Tools at a Glance
For conversational tools, ChatGPT, Claude’s web interface, Kimi’s web interface, and Doubao each bind exclusively to their own model and don’t support switching. Poe, Cherry Studio, and Chatbox take a multi-model approach — they let you configure APIs for multiple models and switch between them in one interface.
Coding tools offer even more variety. Claude Code is Anthropic’s official coding assistant, supporting model switching across Claude, Kimi, GLM, MiniMax, Doubao, and others. It has strong code comprehension and is especially friendly for Chinese developers without overseas credit cards — you can point it directly at domestic model APIs. Cursor is an AI IDE supporting Claude, GPT, DeepSeek, Gemini, and others, with tight IDE integration. GitHub Copilot is Microsoft’s offering, deeply integrated with GitHub, primarily supporting GPT models. Trae, from ByteDance, ships with default support for Kimi, GLM, Doubao, and other domestic models, with solid Chinese-language optimization. Qoder and OpenCode both support multiple domestic models, and OpenCode is open-source and free.
The tool’s workflow isn’t complicated: the user types a question or instruction in the interface, the tool packages the request and sends it to the configured model API, the model returns a result, and the tool renders it for the user. The tool itself does no reasoning — it just forwards requests and displays results.
Two Relationship Patterns
The relationship between models and tools falls into two patterns.
The first is vendor-locked. ChatGPT can only call GPT models, Claude’s web interface can only call Claude, and Kimi’s web interface can only call Kimi. These tools are built by the model vendors themselves and only accept their own APIs. The upside is a polished experience; the downside is limited model choice.
The second is multi-model. Claude Code lets you configure APIs for Claude, Kimi, GLM, MiniMax, Doubao, and others. Cursor lets you switch between Claude, GPT, DeepSeek, and more. Poe also supports multiple models. Users pick whichever model fits their needs — the flexibility is much higher.
For Chinese users, multi-model tools solve a practical problem: no overseas credit card needed, no network gymnastics required. Just configure a domestic model API and you’re using a professional coding tool. Claude Code is the most representative example here — its model configuration is open, and Chinese users can paste in API keys from Kimi, GLM, MiniMax, Doubao, and other domestic models to get it working.
Clearing Up Common Confusion
About the relationship between Claude Code and Claude: Claude is the model developed by Anthropic, and Claude Code is the coding tool made by Anthropic. They’re not the same thing. Claude Code doesn’t only call Claude — it supports Kimi, GLM, MiniMax, Doubao, and other models. Think of it as a coding-specific interface plus code operation capabilities plus multi-model API support.
On choosing domestic models: for everyday conversation and document processing, the easiest route is each model’s official web app or mobile app — use Kimi’s web interface for Kimi, Doubao’s app for Doubao, and the Qwen website for Qwen. For coding, use a tool that supports domestic models. Claude Code configured with a domestic model API works well, and tools like Trae and Qoder also have good domestic model support.
On which matters more, model or tool — they affect different dimensions. The model determines answer quality, reasoning capability, and API call cost. The tool determines interface experience, feature richness, model-switching support, and subscription fees. They’re complementary, and picking the right combination is what unlocks the most value.
Recommendations by Scenario
For daily chat and Q&A, GPT-4o, Claude, or Doubao paired with their official tools will do the job. For reading long documents and papers, Kimi or Claude — their context windows are large enough. For coding and refactoring, Claude, DeepSeek, or GLM paired with Claude Code or Cursor. For math and logic reasoning, DeepSeek-R1 or Claude. If you need domestic models for coding, Kimi, GLM, Doubao, and MiniMax paired with Claude Code is the most mature setup today. For enterprise private deployment, GLM, Qwen, or DeepSeek paired with OpenCode or a custom platform.
By user type: complete beginners should use ChatGPT or Kimi’s web interface — works out of the box with zero configuration. Office workers should use Kimi plus Claude’s web interface for long documents and general Q&A. Developers with overseas payment ability should use Claude Code plus Claude API for the best experience. Developers paying domestically should use Claude Code plus domestic model APIs — convenient payment with strong tooling. Power users should use Cherry Studio with multiple model APIs for flexible switching. Enterprise users should go with private deployment plus custom tools to ensure data security and compliance.
Pitfalls to Avoid
A few common misconceptions need clearing up. Buying Cursor doesn’t mean you can use Claude — Cursor is the tool, and Claude’s API requires separate payment or configuration. Claude Code isn’t locked to Claude — it supports multiple models including domestic ones. There’s no absolute superiority between domestic and international models: Kimi excels at long documents, DeepSeek at code and math, Claude at coding and reasoning. Each has its strengths, and you pick based on the scenario.
Some practical tips for saving money. Use small models for simple tasks — GPT-4o-mini or Claude Haiku handle daily conversation just fine at a fraction of the cost. Bring out the big models only for complex tasks like code generation and deep reasoning, where Claude Sonnet or DeepSeek-V3 earn their keep. Test with free tiers before committing to a paid subscription. And remember that API call costs and tool subscription fees are two separate bills — the tool itself might be free, but the model API behind it charges separately. Domestic model APIs are typically priced much lower than international ones and support local payment methods, making them the pragmatic choice for individual developers or small teams on a budget.
Appendix: Terminology Map
| Model Term | Company | Common Confusion |
|---|---|---|
| Claude | Anthropic | Claude Code is the tool, Claude is the model; Claude Code supports multiple models |
| GPT-4, GPT-4o | OpenAI | ChatGPT is the tool, GPT is the model |
| Kimi | Moonshot | Same name — need to distinguish tool from model |
| DeepSeek | DeepSeek | Web interface is the tool, API is the model |
| GLM | Zhipu AI | Zhipu Qingyan is the tool, GLM is the model |
| Doubao | ByteDance | Doubao app is the tool, Doubao is the model |
| Qwen | Alibaba | Tongyi Qianwen is the tool, Qwen is the model |
| Gemini | Gemini web is the tool, Gemini is the model |
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