A smaller release drew outsized attention on LocalLLaMA because LFM2.5-350M is not trying to be a general-purpose chatbot. Liquid AI is pitching it as a compact model for tool use, structured outputs, and data-heavy edge workflows.
A Reddit thread in r/LocalLLaMA drew 142 upvotes and 29 comments around CoPaw-9B. The discussion focused on its Qwen3.5-based 9B agent positioning, 262,144-token context window, and whether local users would get GGUF or other quantized builds quickly.
A high-signal Hacker News post highlighted StepFun's Step 3.5 Flash launch, describing a 196B-parameter MoE foundation model with about 11B active parameters, 256K context, and vendor-reported coding/agent benchmarks.