Compare LLM API providers on catalog breadth, price transparency, OpenAI-compatible endpoints, and spend controls before you commit traffic.
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.
Co so nguon: NextModel curated catalog, provider public pricing, and OpenRouter metadata when available. · Cap nhat 2026-08-28
Catalog activity
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Dung giao dien nay de thu hep shortlist production, xay dung chinh sach fallback hoac so sanh kinh te model.
| 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.
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