Step 3.5 Flash tops OpenClaw Arena

The rise of "utility models" like Step 3.5 Flash signals a shift from raw intelligence to intelligence-per-dollar as the primary metric for agentic scale.

• –Sparse Mixture-of-Experts (MoE) architecture with 11B active parameters enables 100-300 tok/s inference speeds.
• –Parallel Coordinated Reasoning (PaCoRe) allows the model to synthesize multiple reasoning paths for complex multi-step tasks.
• –Achieved 88.2% on τ²-Bench and 51% on Terminal-Bench 2.0, rivaling much larger frontier models in tool-use efficiency.
• –OpenClaw Arena uses a Plackett-Luce model to rank agents on real-world engineering, coding, and research tasks.
• –Priced significantly lower than GPT-5 or Claude Opus, making it the preferred "utility model" for high-volume automation via platforms like OpenRouter.