Cost Optimization on ModAPI AI Gateway Knowledge Base

One API Key for Multimodal AI Models

Sat, 16 May 2026 16:27:00 +0000

Managing one AI provider is simple. Managing many providers can become operational work: separate keys, dashboards, billing settings, rate limits, SDK patterns, and model IDs.

ModAPI gives developers one API key for a broader AI model ecosystem, reducing the amount of account and integration work needed to test and ship AI features.

LLM Router for Model Switching and Cost Control

Sat, 16 May 2026 16:22:00 +0000

An LLM router is the layer between an application and the model providers it depends on. Instead of hard-coding one model and one provider into every workflow, developers can route requests through a gateway that supports multiple models.

AI API Cost Optimization: A Practical Guide for Developers

Sat, 16 May 2026 01:20:00 +0000

AI API cost optimization is not just about finding the cheapest token price. Production cost depends on model choice, output length, retries, failed calls, context size, caching, provider fees, and how quickly your team can switch models when the first choice is too expensive.

Cheap LLM API Options: How Developers Can Lower AI Model Costs

Sat, 16 May 2026 00:10:00 +0000

The cheapest LLM API is not always the model with the lowest token price. Real cost depends on output length, retries, failed requests, model overuse, provider lock-in, and how many separate integrations your team has to maintain.

LLM Gateway Routing: From Availability to Cost Control

Thu, 14 May 2026 09:00:00 +0000

The first value of an LLM gateway is simple: it brings different providers, model IDs, authentication methods, and API formats behind one access layer. But once a team moves into production, the gateway quickly becomes more than a proxy. Routing policy becomes the real control plane.