Choosing an LLM API provider is an operations decision before it is a pricing one. The providers that hold up in production share four traits: a catalog wide enough to route across, prices you can audit per model and per key, one OpenAI-compatible endpoint so switching is a base_url change, and spend controls that stop a runaway job before finance asks. Judge any provider, including NextModel, against the table on this page: model breadth, context on offer, provider source, and unit price. Cross-check /best/openai-compatible-gateway for the compatibility angle, /best/openrouter-alternatives if you are leaving a marketplace, and /pricing before you commit traffic.
출처 기준: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · 업데이트 2026-08-28
Catalog activity
먼저 후보 목록으로 시작한 다음 실제 프롬프트로 테스트하고 운영 라우팅 전에 월간 비용을 비교합니다.
비교표
운영 후보를 좁히거나 폴백 정책을 만들거나 모델 경제성을 비교할 때 사용합니다.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
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FAQ
Catalog breadth, per-model price transparency, one OpenAI-compatible endpoint, key-level budgets, and usage reporting you can reconcile. A provider missing two of these will surface the gap during an incident, not during evaluation.
Direct works when you use one vendor deeply. The moment you route across vendors or want budgets and BYOK in one place, a gateway provider keeps the switching cost near a base_url change.
Compare input and output price per million tokens at your real usage mix, then add what caching and routing save. The table here lists unit prices; /tools/llm-cost-calculator turns them into monthly numbers.
No. Pages describe model sources and catalog data. Partnership claims only appear when they are separately verified.