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Compress Prompts With Abbreviation Guides
For repeated API calls, define an abbreviation guide in your system prompt (e.g., 'usr=user, msg=message, resp=response') then use abbreviations throughout. This can reduce prompt token counts by 15-25% on verbose instruction sets.
Use Specific Prompts to Cut Costs
Use specific, detailed prompts to get more accurate responses from LLMs and reduce token costs.
Use Smaller Models for Simple Tasks
Consider using shorter models for simple tasks to save on API costs while maintaining quality.
Start With Smaller Context Windows
Test models with smaller context windows first to save on API costs during development.
GPT-4o-mini for Budget-Friendly Quality
For the most cost-effective solution, GPT-4o-mini provides great quality at a fraction of GPT-4o's cost.
Gemini Flash for High-Volume Use
Gemini 2.5 Flash offers near-Pro quality at a fraction of the price — ideal for high-volume use cases.
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