LLM API Channel Price Board

Compare official, aggregator, and reseller channels by model—price, hidden costs, and reputation—so developers pick cheap and reliable endpoints.

Problem

LLM API channels are exploding: official, aggregators (OpenRouter, Together, Groq, etc.), and resellers. Prices for the same model vary wildly, with hidden costs like cache pricing, free tiers, and minimum top-ups, plus risks of resellers wrapping models or shutting down. Developers must manually compare multiple spreadsheets and community reviews, with information badly fragmented.

Solution

A continuously updated price and reputation board that normalizes per-1M-tokens pricing across channels for major models (GPT, Claude, DeepSeek, GLM, Qwen, Kimi, Gemini, Grok, etc.), flags hidden costs like cache rates, free quotas, and minimum deposits, aggregates third-party benchmarks and community sentiment, and marks reseller risk and inclusion criteria.

Users

Developers calling multiple LLM APIs, AI app startup teams, indie developers.

MVP

Cover 10–15 mainstream models and 15–20 channels; unified price display and sorting; flag hidden costs and risk badges; submission/correction form; weekly auto or semi-auto price refresh.

Revenue

Free public board for traffic; Pro tier adds price-change alerts, API availability probes, and channel health scores; affiliate revenue with compliant channels.

Why now

Both models and channels are exploding while price transparency is near zero, making selection costly. An indie dev can build a high-value information product from public data with light maintenance, naturally suited to subscriptions.