I Used the 158K-Download Reasoning Model via API — Here's the 3-Line Code

I Used the 158K-Download Reasoning Model via API — Here's the 3-Line Code A model called Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled just hit 158K+ downloads on HuggingFace. Developers are obsessed because it gives you Claude-level reasoning in a 9B parameter model. But running GGUF locally means downloading 5-8GB, setting up llama.cpp, and managing GPU resources. There's a better way. Access via NexaAPI — No GPU Needed # pip install nexaapi | https://pypi.org/project/nexaapi/ from nexaapi import NexaAPI client = NexaAPI ( api_key = ' YOUR_API_KEY ' ) # Sign up: https://nexa-api.com | RapidAPI: https://rapidapi.com/user/nexaquency response = client . chat . completions . create ( model = ' qwen3.5-9b-claude-reasoning ' , messages = [ { " role " : " system " , " content " : " Think step by step before answering. " }, { " role " : " user " , " content " : " Analyze the tradeoffs of microservices vs monolith for a 3-person startup. " } ], temperature = 0.6 , max_tokens = 1024 ) print (