Conclusion
- Use official DeepSeek pricing as the source of truth.
- Check whether any free credit is visible in your own account, not just in blog screenshots.
- Compare accepted-task cost, including retries and invalid outputs.
- Add fallback and budget alerts before using DeepSeek in autonomous agents or production user flows.
What to do next
- Open the official DeepSeek pricing page and record current input, output, cache-hit, and off-peak rules.
- Check your console for signup credit, expiry, and billing status.
- Run your own benchmark: chat, coding, JSON output, and one long-context case.
- Calculate cost per accepted result, including retries and failed validations.
- Set a fallback route and alert when prices, rate limits, or quality change.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| DeepSeek | Verify in console | Low-cost reasoning and coding benchmark |
| Qwen | Signup credits vary | China-friendly alternative and long context |
| Zhipu GLM | Signup tokens vary | Domestic fallback |
| LLM cost calculator | Free tool | Estimating workload-level spend |
| OpenLLMAPI | Trial varies | Fallback, logs, and budget attribution |
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
Turn cheap tokens into predictable cost
Use DeepSeek where it wins, then add fallback, spend logs, and budget alerts so price changes or retries do not surprise production.
FAQ
Is DeepSeek always the cheapest?
Not always. It may be very cheap per token, but failed validations, retries, or rate limits can change the real cost.
Where do I check free credits?
Check your own DeepSeek console and billing page. Public posts may be stale.
What pricing details matter most?
Input, output, cache hit, off-peak rules, context length, rate limits, and expiration of credits.
When do I need fallback?
When real users, scheduled jobs, agents, or strict JSON/tool-call outputs depend on the model.