What is an OpenAI-compatible LLM gateway?
A hosted API that speaks the OpenAI request shape (chat completions, models, keys) and forwards to one or more providers behind a single base URL.
Model shortlist
Best OpenAI-compatible LLM gateway options for multi-model routing
Shortlist models for an OpenAI-compatible LLM gateway: one base_url, multi-provider routing, cost visibility, and sane fallbacks.
What is this shortlist for?: LLM gateway
An OpenAI-compatible LLM gateway means you keep the OpenAI SDK, point base_url at the gateway, and route across providers from there. You can compare unit cost, add cache or budgets, and fail over without rewriting app code. This ranking is for teams picking default models for that setup: start with solid general models, define a fallback, then estimate monthly spend. Migration steps live at /docs/openai-compatible. Cost math is at /tools/ai-api-cost-calculator. If you are comparing multi-model marketplaces specifically, use /best/openrouter-alternatives.
Source basis: NextModel catalog taxonomy, OpenAI-compatible gateway positioning, and provider public pricing when available. · Updated 2026-08-05
How to use this shortlist
How to use this shortlist (LLM gateway)
- Match the shortlist to the job. Check whether the LLM gateway candidates fit your real workload, not only the posted rate.
- Run the same prompts. Test two or three candidates on production-like prompts and note quality and output length.
- Estimate monthly cost. Use the pricing page or cost calculator with expected token volume.
- Set fallback and budget. Pick a primary model, a fallback, and a project budget before production traffic.
Fit score
Recommended candidates llm gateway
Start with the shortlist, then test real prompts and compare monthly cost before production routing in Singapore.
Comparison table
Compare the shortlist by price, provider, context, capability, and source.
Use this view when narrowing a production shortlist, building a fallback policy, or comparing model economics for Singapore-based teams.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|
FAQ
LLM gateway FAQ
Why use a gateway instead of calling each provider directly?
One integration surface, easier fallbacks, and one place for usage, budgets, and receipts before traffic gets loud.
How do I switch an existing OpenAI app to a gateway?
Change base_url and the API key in most cases. Then verify streaming, tools, JSON mode, and vision against the model IDs you will actually use.
How should teams control cost on a multi-model gateway?
Send cheap work to cheap models, keep stronger models for hard cases, cache only when it is safe, and set project budgets. Estimate monthly cost before you scale.
Related rankings
Related rankings
Related guides