Qwen3.8-27B is now listed on Cerebras public endpoints at roughly 1,500 generated tokens per second. This guide explains what the speed means, how reasoning and context limits affect real latency, and how to make a first API call.
colibrì runs GLM-5.2 (744B MoE) on consumer hardware by keeping ~9.9GB of dense int4 weights in RAM and streaming routed experts from a ~370GB int4 container on disk. It uses an LRU expert cache, MLA-style compressed KV caching, and native MTP speculative decoding to improve interaction speed once caches are warm.