ClinePass - Run the best open-weights models in Cline
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ClinePass gives Cline users one $9.99/month subscription for top open-weight coding models like GLM, Kimi, DeepSeek, and more. Use powerful models inside Cline with 2–5x standard API rate limits, without juggling provider accounts, API keys, billing pages, or model availability. Built for developers who want Cline’s agentic coding workflow with a simpler, faster open-model stack.
Replies
The open-weights angle here is underrated - when you're working on anything where you can't send your code to an external API, being able to run a capable model locally through Cline changes everything. Curious how the performance compares to the hosted models for actual coding tasks - do the open-weights models hold up on complex refactors or is there still a noticeable gap?
Cline
@omri_ben_shoham1 it's getting really good now, especially as some models making a breakthrough like GLM5.2
the SDK option is what separates this from most coding agents. being able to embed an autonomous coding agent into your own tools and workflows instead of only using it through an IDE is a much bigger unlock. most teams don't just need an agent that writes code, they need one that fits into their existing CI pipeline and review process. how does cline handle the review step? does it wait for approval before committing or can you set it to auto-commit on low risk changes?
Cline
@shubham4real you can easily setup any review agents using our SDK - the goal's to allow any developer build their own agents easily.
You can find a lot of examples here: https://github.com/cline/cline/tree/main/sdk/examples
Open-weights in Cline is interesting for the same reason local tools keep coming back: cost control and privacy both matter once agents become daily infrastructure. The practical test is whether teams can swap models without breaking their workflow.
Cline
@krekeltronics exactly!
The actual pain point this solves is real, juggling API keys and billing across five different open-weight providers just to try models in Cline is annoying enough that I'd pay $9.99 just to skip that step, separate from whether the rate limits matter.
Cline
@ansari_adin we want to make things absolutely easy!
The data path is what I'd want pinned down before routing my agent stack through this — when ClinePass proxies my prompts and codebase context to GLM/Kimi/DeepSeek, is it pass-through with zero retention, or do you log requests for benchmarking and abuse handling? And are you hosting these open weights on your own infra or reselling third-party inference, since that decides where my code actually lands and what the latency floor looks like.
Humalike
Great to see this live! Which use case are you seeing the most demand for?
the bring-your-own open-weights angle is the right bet — not being locked to one provider's pricing or privacy terms is underrated. how's GLM/Kimi holding up vs frontier models on the harder agentic tasks?
Cline
@sabber_ahamed it's getting really good now! Try it out with Cline yourself and let us know
LottieFiles
running open-weights in a coding agent is the part most people still sleep on. which ones actually hold up on real agentic tasks, not just benchmarks?
The provider-account juggling part is the real pain point here. In Cline I usually lose more time comparing limits/billing than picking the model. Curious how you decide which open models are “agentic enough” before adding them?