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AI_RetryError: Failed after 4 attempts. Last error: Provider returned error (Qwen3 Coder 480B A35B Instruct (free) through OpenRouter) #2018
It appears that CLI is unusable with Qwen3 Coder 480B A35B Instruct free model, through OpenRouter. Few call in the workflow, it always results in the following error:
"AI_RetryError: Failed after 4 attempts. Last error: Provider returned error".
Flow just stops when using openrouter models #1710: Flow just stops when using openrouter models - Reports OpenRouter models stopping after initial tool calls, specifically mentioning issues with Qwen3 Coder and Kimi K2
@OgnjenKop I think this is a provider issue, not sure what we can do about it on our end. I managed to talk to that model without issues here but I will say the free openrouter models are generally super heavily ratelimited and I wouldn't generally recommend them
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github-actions commentedon Aug 17, 2025
This issue might be a duplicate of existing issues. Please check:
Feel free to ignore if none of these address your specific case.
rekram1-node commentedon Aug 17, 2025
@OgnjenKop I think this is a provider issue, not sure what we can do about it on our end. I managed to talk to that model without issues here but I will say the free openrouter models are generally super heavily ratelimited and I wouldn't generally recommend them
OgnjenKop commentedon Aug 17, 2025
@rekram1-node Interesting thing is that some other free, oss models are working with no issues. Deepseek R1T2 Chimera, for example.
Would it help if I try out qwen on other CLI tools to see how it performs there?
rekram1-node commentedon Aug 17, 2025
@OgnjenKop what I was getting at is this error is due to the provider of the model, not us, they must have had some outage
florath commentedon Aug 17, 2025
@OgnjenKop: you might also run into a known tool-calling problem with the (unpatched) qwen3-coder models:
https://docs.unsloth.ai/basics/qwen3-coder-how-to-run-locally
I experienced a couple of problems: #1809
rekram1-node commentedon Aug 18, 2025
Closing since this was due to provider issue