同样的问题,模型不同,成本差异达45倍——Token Economics实战指南
📄 中文摘要
当前,使用GPT-4级别性能的成本比两年前降低了100倍。到2026年3月,LLM API市场中“便宜”模型与“高端”模型之间的价格差距超过1000倍,例如Mistral Nemo每百万个token仅需0.02美元,而o3 Pro则高达375美元。理解并利用这一差距的技术称为Token Economics,而自动化利用这一差距的系统被称为Model Routing。在LLM的世界中,token被视为货币,作为处理文本的最小单位,token的计费方式对开发者至关重要。值得注意的是,输出token的成本通常是输入token的3到10倍,这意味着在实际应用中,开发者需谨慎考虑成本结构。
📄 English Summary
같은 질문, 모델만 바꿨더니 비용이 45배 차이 났다 — Token Economics 실전 가이드
The cost of using GPT-4 level performance has decreased to one-hundredth of what it was two years ago. By March 2026, the price gap between 'cheap' and 'premium' models in the LLM API market exceeds 1,000 times, with Mistral Nemo costing $0.02 per million tokens and o3 Pro costing $375. The technology that understands and utilizes this gap is called Token Economics, while the system that automates this utilization is known as Model Routing. In the world of LLMs, tokens are treated as currency, serving as the smallest unit of text processed. The billing method based on tokens is crucial for developers. Notably, output tokens are typically 3 to 10 times more expensive than input tokens, highlighting the need for developers to carefully consider cost structures in practical applications.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等