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(1) Use cloud models to search and compile data, then have local models perform secondary verification | (1) Use cloud models to search and compile data, then have local models perform secondary verification | ||
(2) For data that requires special privacy protection, it must be processed by local models | (2) For data that requires special privacy protection, it must be processed by local models | ||
== Does it make a difference to use the same model via API versus the web interface (monthly subscription)? == | |||
📝 Question: Does it make a difference to use the same model via API versus the web interface (monthly subscription)? | |||
💬 Answer: | |||
# The monthly subscription web version has a daily usage limit; once you hit it, you need to wait a few hours for it to reset. The API, on the other hand, depends on your budget — it's more flexible, allowing more requests and higher frequency. | |||
# Some parameters can only be adjusted through the API; the web version doesn't necessarily expose them. Take Gemini as an example: even on the free or basic plan, the web interface has far fewer adjustable parameters compared to Google AI Studio (which is closer to an API-style interface). | |||
# The monthly subscription web version is designed with general users in mind, prioritizing ease of use. If you need advanced features, you can consult the API documentation to see if anything fits your needs. | |||
# For pure text conversations, the main difference between the web version and the API is: the web version has context (conversation memory) managed by the provider, whereas with the API, developers need to manage it themselves. | |||
== Related articles == | == Related articles == | ||