Conclusion
- Free chatbot APIs are useful for demos, but customer-facing bots need budget caps and fallback.
- Choose by cost per resolved conversation, not only token price.
- Keep API keys server-side and never embed them in website JavaScript.
- Move to a routed endpoint before ads, support tickets, or real customer data drive usage.
What to do next
- Create one no-card or free-credit test key and keep the chatbot behind a staging URL.
- Run ten representative customer questions and measure answer quality, latency, refusals, and cost.
- Set max input length, max output tokens, per-session rate limits, and daily spend alerts.
- Add a cheaper primary route plus fallback for failed or high-value conversations.
- Before launch, route calls through server middleware or OpenLLMAPI so logs, budgets, and provider changes are centralized.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| OpenRouter/Groq | Free routes vary | Fast no-card chatbot demos |
| Qwen | Signup credits vary | China-friendly business chatbot tests |
| DeepSeek | Verify current pricing | Low-cost reasoning and support answers |
| Zhipu GLM | Signup tokens vary | Domestic fallback and Chinese support bots |
| OpenLLMAPI | Trial varies | One endpoint with fallback, logs, and budget caps |
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
Launch your chatbot with a budgeted API route
Use one compatible endpoint for free tests, low-cost primary models, fallback, and spend logs. Signup is tagged for small-business chatbot intent.
FAQ
Can I keep using free APIs after launch?
Only for very low traffic. Real customers require predictable rate limits, billing, support, logs, and a fallback route.
What metric should I optimize?
Cost per resolved conversation, including retries, bad answers, fallback calls, and human handoff.
Do I need a vector database first?
Not always. Start with a small FAQ prompt and only add retrieval when answers need business-specific documents.
Where should the API key live?
On your server, worker, or gateway. Never ship it in frontend code.