Conclusion
- Best first smoke test: a provider that supports OpenAI-style base_url, api_key, and /v1/chat/completions.
- No-card free routes are useful for demos, but rate limits and model availability change often.
- Do not hard-code provider-specific model names; keep base_url, key, and model in environment variables.
- Before launch, add a low-cost paid fallback so the free route does not break your demo or agent.
What to do next
- Pick one OpenAI-compatible provider with no-card or free-model access.
- Change only base_url, api_key, and model in your OpenAI SDK client.
- Run a smoke prompt, a streaming prompt, and one JSON/tool-call prompt if your app needs it.
- Record rate limits, quota behavior, latency, and whether errors match OpenAI SDK expectations.
- Add OpenLLMAPI or another gateway when you need one key, fallback, and budget logs.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| OpenRouter | Free model routes, rate limited | Fast no-card OpenAI-compatible prototype |
| SiliconFlow | Free/open model routes vary | China-direct compatible testing |
| Qwen DashScope | Signup credits vary | Alibaba Cloud compatible-mode setup |
| Zhipu GLM | Signup tokens vary | Domestic GLM fallback and testing |
| OpenLLMAPI | Trial credit varies | One compatible endpoint with fallback and cost logs |
Global developer checklist
- Confirm whether signup, billing, and API keys work from your country before writing production code.
- Prefer OpenAI-compatible endpoints when you may need to switch models, regions, or providers later.
- Test free credits with a real smoke prompt and record latency, error shape, streaming behavior, and quota burn.
- Keep at least one fallback route for provider outages, model deprecations, and regional access changes.
Production handoff
Need one compatible key after the free test?
Move from no-card prototype to a stable OpenAI-compatible endpoint with provider fallback, budget logs, and model routing.
FAQ
Is no-card the same as free forever?
No. It usually means you can create a test key or use selected free models before billing. Quotas, models, and limits can change.
Can I use the normal OpenAI SDK?
Often yes. Set base_url, api_key, and model for the compatible provider. Then test streaming, JSON mode, and tool calls because compatibility is not always complete.
Which route is safest for production?
Use a paid direct provider or a relay with budget logs, fallback, and predictable billing. Keep the no-card route for prototyping and smoke tests.
What should I avoid?
Avoid shared keys, scraped credentials, or “free” APIs that cannot explain quota, billing, data handling, or model ownership.