Conclusion
- Cursor-style tools amplify model and endpoint errors because they run many edit/retry loops.
- Qwen, DeepSeek, and GLM are the most practical China-friendly compatible routes to benchmark first.
- Wrong base_url, model name, and client fallback to OpenAI are common failure modes.
- A routed endpoint is safer when multiple developers or tools share the setup.
What to do next
- Create one coding benchmark: bug fix, refactor, test generation, and long-file question.
- Configure each provider with explicit base_url, api_key, and model in the tool or proxy layer.
- Run the same benchmark and log accepted edits, retries, latency, context failures, and cost.
- Pick a primary provider and set fallback for failed edits or high-complexity tasks.
- Use OpenLLMAPI if you want one key and routing policy across Cursor, Cline, RooCode, and OpenClaw.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| Qwen DashScope | Signup credits vary | Alibaba-compatible coding and long-context tests |
| DeepSeek | Verify current pricing | Low-cost coding and reasoning route |
| Zhipu GLM | Signup tokens vary | Domestic coding fallback and GLM checks |
| SiliconFlow | Free/open routes vary | China-direct multi-model coding tests |
| OpenLLMAPI | Trial varies | One endpoint for coding-agent routing |
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
Give coding tools one compatible route
Use Qwen, DeepSeek, GLM, and fallback models behind one key with route logs and budget controls. The signup link is tagged for Cursor/custom-API intent.
FAQ
Can Cursor use Qwen, DeepSeek, or GLM?
If your tool version supports custom OpenAI-compatible providers, set base_url, key, and model explicitly and test with a tiny prompt first.
Which is best for coding?
Benchmark your own repo. DeepSeek often wins cost-sensitive reasoning, Qwen is strong for China-friendly workflows, and GLM is useful as fallback.
Why does the tool still call OpenAI?
Some presets override base_url or read a different environment variable. Confirm the actual request destination in logs.
When should I use a gateway?
When several tools or teammates need the same key, route policy, fallback, and cost logs.