Conclusion
- DeepSeek is usually the first low-cost coding/reasoning benchmark.
- Qwen is stronger when credits, China access, and Alibaba-compatible setup matter.
- Coding agents should not depend on one provider; retries and long outputs make fallback important.
- Measure cost per accepted code change and per passed test, not only token price.
What to do next
- Create identical OpenAI-compatible client config for Qwen and DeepSeek.
- Run three tasks: bug fix, refactor, and test generation on the same repository snippet.
- Score accepted output, passed tests, retry count, latency, context handling, and real token burn.
- Use the cheaper winner for routine loops and keep the other as fallback.
- Add a premium fallback for tasks where both cheap models fail repeatedly.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| DeepSeek | $5 signup / current credit | Low-cost coding, reasoning, and agent loops |
| Qwen | 70M signup tokens | China-friendly coding, long context, and Alibaba Cloud users |
| Zhipu GLM | 5M signup tokens | Domestic GLM fallback for Chinese coding workflows |
| Groq | Free developer limits vary | Fast open-model coding smoke tests |
| OpenLLMAPI | Signup credit varies | Task routing across Qwen, DeepSeek, GPT, Claude, and Gemini |
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
Want Qwen and DeepSeek behind one coding endpoint?
Use one compatible key to route cheap coding loops to Qwen or DeepSeek, then fallback to GPT, Claude, or Gemini when the patch needs stronger review.
FAQ
Which is cheaper for coding agents?
DeepSeek is often the first benchmark for low-cost coding loops, but real cost depends on output length, retries, and whether the result passes tests.
Which is easier to use from China?
Both are China-friendly compared with many overseas APIs. Qwen has strong Alibaba Cloud/DashScope compatible-mode fit; DeepSeek is often simpler for low-cost direct use.
Can I use the same SDK for both?
Yes. Use an OpenAI-compatible client where possible and switch base_url, api_key, and model name through configuration.
Should I route different coding tasks to different models?
Yes. Send routine edits and summaries to the cheaper route, use the stronger or alternate route for planning, failing tests, and final review.