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I used their $50 plan and with the previously offered Qwen3 coder 480B. While fast - none of the “supported” tools I tried were able to use it in a way that didn’t hit the per minute request limit in a few seconds. It was incredibly frustrating. For the record, I tried OpenCoder, VSCode, Quen Coder CLI, octofriend and a few others I don’t remember.

Fast forward to now, when GLM 4.6 has replaced Qwen3 coder in their subscription plan. My subscription was still active so I wanted to give this setup another shot. This time though, I decided to give Cline a try. I’ve got to say, I was very pleasantly surprised - it worked really well out of the box. I guess whatever Cline does behind the scenes is more conducive to Cerebra’s API. I used Claude 4.5 + Thinking for “Plan” mode and Cerebras/GLM 4.6 for “Act”.

The combo feels solid. Much better than GPT-5 Codex alone. I found codex to be very high quality but so godawful slow for long interactive coding sessions. The worst part is I cannot see what it’s “thinking” to stop it in its tracks when it’s going in the wrong direction.

In an essence, Cerebras + GLM 4.6 feels like Grok Fast 1 on steroids. Just couple it with a frontier + thinking model for planning (Claude 4.5/GPT-5/Gemini Pro 2.5).

One caveat: sometimes the Cerebras API starts choking “because of high demand” which has nothing to do with hitting subscription limits. Just an FYI.

Note: For the record, I was coding on a semi-complex Rust application tuned for low-latency mix of IO + CPU workload. The application is multi-threaded and makes extensive use of locking primitives and explicit reference counting (Arc). All models were able to handle the code really well given the constraints.

Note2: I am also evaluating Synthetic's (synthetic.new) open-source model inference subscription and I like it a lot. There's a large number of models to choose from, including gpt-oss-120 and their usage limits are very very generous. To the point that I don't think I will ever hit them.