Building a Multi-Model AI Application

Use multiple AI models in one application.

Combine the strengths of different models.

Model Selection Strategy

Simple tasks: Use cheaper models

Complex reasoning: Use GPT-4 or Claude

Code: Use DeepSeek

Architecture

class MultiModelLLM:

def __init__(self):

self.models = {

“fast”: OpenAI(model=”gpt-3.5-turbo”),

“smart”: OpenAI(model=”gpt-4″),

“cheap”: DeepSeek()

}

Conclusion

Multi-model apps optimize cost and quality!

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