Qwopus, OmniCoder sharpen Qwen3.5 9B agents

For 16GB unified memory, this is less about chasing the biggest model and more about picking the one that stays responsive while tool calls stay reliable. OmniCoder looks like the most purpose-built option; Qwopus looks like the smarter reasoning-tuned variant; base Qwen3.5 is the safest fallback.

• –OmniCoder-9B is explicitly trained on 425,000+ agentic coding trajectories, so it is the most directly aligned with terminal, file-edit, and multi-step coding workflows
• –Qwopus3.5-9B-v3 claims slightly better accuracy than base Qwen3.5-9B with shorter reasoning traces, which matters when latency and token budget are tight
• –Base Qwen3.5-9B is the least risky baseline if you care about ecosystem support and predictable tool-calling behavior across local stacks like Ollama or LM Studio
• –For OpenClaw or Agent Zero, model behavior will matter more than framework choice once you start pushing long context and repeated tool calls
• –Gemma 4 E4B may be attractive on hardware fit, but it is not the obvious first pick if your priority is dependable agent tool use