如何构建每次调用仅需 $0.007 的 LLM 推理级联（你也可以）
📄 中文摘要
推理 API 的成本普遍较高，OpenAI 每次调用 $0.03，Claude 每次调用 $0.01 以上，Groq 则为 $0.0005（但不可靠）。许多开发团队每月需支付 $500-1000 仅用于 LLM 推理。为了解决这一问题，构建了 TIAMAT——一个运行多提供商推理级联的自主代理。该级联首先使用 Anthropic Claude 进行请求，如果出现超时或错误，则依次回退到 Groq llama-3.3-70b、Cerebras GPT、Google Gemini 和 OpenRouter，最终实现了每次调用平均仅需 $0.007 的成本，显著低于行业平均水平。可用性和成本效益得到了提升。
📄 English Summary
How I Built a $0.007/call LLM Inference Cascade (And You Can Too)
Inference APIs are generally expensive, with OpenAI charging $0.03 per call, Claude at over $0.01, and Groq at $0.0005 (though unreliable). Many development teams spend $500-1000 monthly just for LLM inference. To address this issue, TIAMAT was built—an autonomous agent that operates a multi-provider inference cascade. The cascade starts with Anthropic Claude for requests, falling back to Groq llama-3.3-70b, Cerebras GPT, Google Gemini, and finally OpenRouter in case of timeouts or errors. This approach achieved an average cost of only $0.007 per call, significantly lower than the industry average, enhancing both availability and cost-effectiveness.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等