Qwen3.5-9B hits Opus 4.6 reasoning for agents

This model solves the "reasoning bottleneck" for local agents by distilling massive frontier logic into a footprint small enough for consumer GPUs.

• –Distilling Claude 4.6 Opus trajectories into a 9B model allows for complex tool use and multi-step planning without the latency or cost of API-based models.
• –Specifically optimized for OpenClaw and AgentScope, ensuring deep compatibility with leading local agent frameworks and terminal access workflows.
• –Explicit `<think>` tag reinforcement improves reasoning transparency and significantly reduces the "thinking loops" common in smaller dense models.
• –Available in GGUF and EXL3 formats, making it immediately accessible for llama.cpp, Ollama, and high-speed GPU inference.
• –Built on CoPaw-Flash-9B, it leverages Qwen's official agentic harness fine-tuning as a robust foundation for autonomous task execution.