5 Proven Ways to Slash Your LLM API Bill by 30%
Stop wasting money on inefficient prompts. These five strategies will help you optimize your token usage without losing quality.
High API bills are the silent killer of AI-native products. But you don't have to sacrifice model quality to save money. Here are five battle-tested strategies to optimize your spend.
1. Master Prompt Caching
Most providers now offer significant discounts for cached prompts. If your system instructions are 2,000 tokens long, caching can save you up to 50% on input costs.
2. The "Cheap-First" Routing
Always try to solve the task with a smaller model (like GPT-4o mini) first. Only escalate to the "Big Models" if the confidence score is low.
3. Token Trimming
Be ruthless. Every "Please" and "Thank you" in your system prompt is a fraction of a cent. Over a million requests, that's real money.
4. Semantic Compression
Use AI to compress long user inputs before sending them to the main reasoning model.
5. Monitor Your Burn
You can't optimize what you don't measure. Use a Token Cost Calculator to visualize where your money is going.
Sustainable building is about efficiency. Start trimming today.