Qwen3.5-9B Claude Opus Reasoning API: Claude 4.6 Intelligence for Pennies

Qwen3.5-9B Claude Opus Reasoning API: Claude 4.6 Intelligence for Pennies What if a 9-billion parameter model could reason like Claude 4.6 Opus? That's exactly what knowledge distillation achieves — and today I'll show you how to access this capability via API in under 5 minutes. 🧠 The Model: Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled The Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled model is a fine-tuned version of Qwen3.5-9B that learned to reason like Claude 4.6 Opus through Chain-of-Thought distillation . Here's the training pipeline in simple terms: Claude 4.6 Opus → Generate 3000+ reasoning examples ↓ Qwen3.5-9B + SFT + LoRA ↓ Compact model with Opus-level reasoning The result? A model that structures its thinking like this: <think> 1. Identify the core objective 2. Break into subcomponents 3. Evaluate edge cases 4. Execute step-by-step </think> [Final precise answer] 🚀 Accessing It via NexaAPI Running GGUF models locally requires hardware and setup time. NexaAPI gives you O