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AdvancedOptimization
How do you reduce OpenAI API costs in production?
Cost reduction: (1) Use gpt-3.5-turbo for classification/simple tasks, gpt-4 only for reasoning, (2) Semantic caching — cache responses by embedding the query and finding similar cached queries, (3) Prompt compression — use LLMLingua to compress prompts by 3–10x, (4) Streaming — faster perceived response, (5) Batch API — 50% discount for non-realtime tasks, (6) Fine-tuning — smaller fine-tuned model can outperform GPT-4 at 10x lower cost for specific tasks.
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