r/CLine

Guys, I’m trying to understand something about Cline.

When I use GLM 5.1 in Cline, I sometimes receive an error or a recommendation suggesting that I should use Claude instead. It gives me the option to ignore the warning, but I want to understand what it actually means.

Does this mean the model is not strong enough for the task, or could there be an issue with Cline itself?

I’m asking because I never received messages like this in Roo Code, even on heavy tasks. I’m new to Cline and recently switched from Roo Code, so I’m trying to understand how it works.

Thanks for your help.

I’m evaluating an on-prem coding-agent setup to optimize Claude/GPT SaaS/API spend.

Hardware target: 4×RTX 3090, 96GB total VRAM, Linux, likely vLLM or SGLang exposing an OpenAI-compatible endpoint.

Tools: Cline and OpenHands.

Questions:

1. Is Qwen3-Coder-30B-A3B enough as a daily driver, or is it underusing the hardware?
2. Has anyone run Qwen3-Coder-Next 80B-A3B, Llama/Qwen 70B-class, or similar models on 4×3090 for coding agents?
3. What quantization actually works well for tool-use and long-horizon coding tasks: FP8, AWQ, GPTQ, Q8, Q4?
4. What context length is realistic before throughput collapses?
5. Has this meaningfully reduced your Claude/OpenAI spend, or do you still need cloud fallback for hard tasks?

I’m especially interested in real-world results: tokens/s, accepted PRs/tasks, failure modes, model configs, and whether OpenHands/Cline behave reliably with local endpoints.

They say on their page it is 1.6 billion credit and mimo v2.5 pro takes 2 credit per token, mimo v2.5 takes 1 credit per token but here is how they get you, cached token is still billed the same credit per round trip, absolutely not suitable for coding cli then, because every single one of them by design would keep going back and forth with toolcalls, that's how they work, normally inference providers charge 10% for the pre existing cached context, but Xiaomi takes the full amount, I did 10 small tasks like not even that deep, small tasks and it is already at 12 or so million credit used, it used probably under a million context tasks were that mini, like saying hello, and mv this folder around, write some sql etc, like 10 total prompts same session, credit cost keeps snow balling, they don't mention nothing of this sort in the token plan docs or anything anywhere, for a big task it would be what 200 million token uncached, so 400million credit if you used mimo v2.5 pro, so with max 100$ plan you can use it for 4 tasks PER MONTH, honestly get anything over mimo token/coding plan, 40m token task(input+output) would be like 400million, cache hit rate is avg 90%