Step 3.5 Flash tops benchmarks for local reasoning

The sparse MoE architecture and Multi-Token Prediction (MTP-3) enable triple-digit throughput, making real-time reasoning highly responsive. High scores on SWE-bench (74.4%) place it as a legitimate rival to proprietary models like GPT-5.2 for complex developer tasks. User reports confirm its 50k token plan generation makes it viable for autonomous agentic workflows previously requiring models like Claude Opus. Effective local deployment on high-end consumer hardware (128GB+ RAM) allows for private, long-context planning without API latency or associated costs. Its reasoning-first approach effectively bridges the gap between fast chat and deep autonomous execution.