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.
來源依據: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · 更新日期 2026-08-28
如何使用这份名单
目录活跃度
先從候選名單開始，再以真實提示詞測試，並在接入生產路由前比較月度成本。
比較表
當你在縮小正式環境候選名單、建立兜底策略或比較模型經濟性時，可使用此視圖。
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|
常見問題
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.
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