A developer has successfully recreated the advanced reasoning capabilities of Anthropic's Claude Opus AI in an open-source model named Qwopus. This new model runs on consumer-grade hardware, rivaling the performance of much larger, proprietary systems. This development showcases how AI distillation can bring cutting-edge capabilities offline and directly into the hands of developers.
Qwopus is built upon Alibaba's Qwen3.5-27B model, fine-tuned with Claude Opus 4.6-style chain-of-thought reasoning. The latest version, Qwopus v3, focuses on "structural alignment," enabling the model to reason step-by-step faithfully. It boasts strong performance on coding benchmarks, achieving 95.73% on HumanEval.
Running Qwopus is straightforward, with models available in GGUF format for direct loading into applications like LM Studio or llama.cpp. Even a 27 billion parameter model can operate on a MacBook with 32GB of unified memory. The project has seen over one million downloads.
Testing revealed impressive creative writing capabilities, producing a coherent and philosophical dark sci-fi story. For coding tasks, Qwopus generated a functional game from scratch, outperforming larger models like Google's Gemma 4.
When presented with sensitive prompts, Qwopus declined to generate harmful content but instead provided detailed, actionable advice, demonstrating a nuanced approach to user requests. This helpfulness and empathy are comparable to top-tier models.
Qwopus is ideal for developers seeking powerful reasoning models on their own machines without query costs or data privacy concerns. It is also a valuable tool for writers, analysts working with sensitive data, and those experiencing API latency issues. The model excels in tasks requiring deep reasoning, such as long coding sessions, complex analysis, and multi-turn agent workflows.