PinchBench Ranking: Chinese AI Models Lead in Multiple Agent Capability Test Metrics

Choosing the right AI model for OpenClaw often stumps users, and the PinchBench ranking solves this problem—it's designed specifically for lobster-related scenarios, evaluating global models' adaptability from success rate, speed, and cost dimensions with real-time updates. In the ranking, Chinese models perform outstandingly: in success rate, MiniMax M2.1 (93.6%) and Kimi K2.5 (93.4%) rank 2nd and 3rd, only behind Google Gemini 3 Flash (95.1%); in speed, MiniMax M2.5 tops Gemini and Llama; though slightly less competitive in cost compared to OpenAI and Google models, their overall balance is impressive. Developed by the Kilo AI team, PinchBench focuses on agent capability tests in real task flows, using an automated + LLM review mechanism, and is open-source for custom tasks, providing reliable references for model selection.