做 AI 应用开发的团队，如果还在为推理成本头疼，The Grid 的思路值得一试——它用市场机制替代了固定定价，简单任务不再花冤枉钱。
The Grid 是一个智能推理路由层，它根据任务复杂度自动选择最合适的模型，并按实时市场价格计费，而非固定费率。用户只需定义任务等级（标准、高级、最大），The Grid 会在多个供应商中动态选择最便宜的可用模型。这避免了为简单任务支付高端模型费用，也摆脱了对单一供应商的依赖。新用户可免费使用前 2 亿 token。作者演示了如何将 Hermes Agent 与 The Grid 集成，在本地运行代理但通过 The Grid 调用 AI。
Most teams are overpaying for inference without re…
Most teams are overpaying for inference without realising it. Fixed rate cards have no competitive pressure.
The Grid replaces them with live supply and demand, prices track the market, not a vendor's margin.
The Grid sits in the middle and basically says, “Don’t pick the model, pick the level of work you need.”
A boring task like classifying support tickets does not need the smartest model, so it can run on standard.
A normal production task like RAG, drafting, support replies, or agent steps can run on prime.
A hard task with long context, high error cost, or difficult reasoning can run on max.
Your app sends the request to The Grid, not directly to OpenAI, Anthropic, or one hosting company.
The Grid then checks which suppliers currently qualify for that tier and sends the request to the cheapest one available at that moment.
You still use one API key and mostly the same code, but the model behind the request can change as prices and quality change.
So you stop paying premium prices for easy work, and also you are not trapped inside one vendor’s model names, pricing, outages, or deprecations.
New accounts get the first 200 million tokens covered.
Here, I integrated Hermes Agent with The Grid in minutes, kept the agent running locally on my Ubuntu machine, and used “agent-prime” to read support tickets, apply a policy file, and write a triage report through The Grid’s API.
You just need to - install Hermes Agent - select The Grid as a custom AI provider. - No local model download. No GPU setup. The request goes through the grid. - The Hermes Agent ran locally, but the AI calls went through The Grid.
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