Category
AI Cost & Efficiency
Fewer tokens, cheaper APIs, local alternatives with real numbers
// 5 articles filed
// FIG. CAT-AI-C
PristrenPristrenFewer tokens, cheaper APIs, local alternatives with real numbers
// 5 articles filed
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OpenAI's Batch API cuts costs by 50% for any request that can wait up to 24 hours. If you have data labeling, nightly analysis, or content moderation workloads, you should be using it.
Mahmudul Haque Qudrati
CEO & ML Engineer
Semantic caching stores LLM responses and returns them when a new query is semantically similar to a cached one. In customer support applications, hit rates of 15-40% are realistic.
Mahmudul Haque Qudrati
CEO & ML Engineer
Model routing automatically sends simple queries to cheap models and complex ones to expensive models. With GPT-4o-mini at $0.15/1M tokens vs GPT-4o at $2.50/1M, the savings are substantial.
Mahmudul Haque Qudrati
CEO & ML Engineer
How prompt caching works on Anthropic and OpenAI, when it saves money, and how to implement it. Real cost reduction numbers with code examples.
Mahmudul Haque Qudrati
CEO & ML Engineer
Complete LLM API pricing table with per-request cost calculations. Which model is cheapest for coding, summarization, and classification? Real numbers, no estimates.
Mahmudul Haque Qudrati
CEO & ML Engineer
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