龙虾最佳适配模型，OpenClaw之父给出了推荐

Core Insights - The article discusses the rising popularity of lobster-related AI models and the challenges in selecting the most suitable model for OpenClaw, with a recommendation to refer to the PinchBench ranking system [1][3]. Group 1: PinchBench Overview - PinchBench is a benchmark specifically designed for evaluating AI models based on their success rate, speed, and cost, providing real-time updates [3][6]. - The benchmark has gained traction since its introduction in February, particularly due to the impressive performance of Chinese models [3][20]. - The ranking highlights that Chinese models excel in success rate and speed, although they lag behind in pricing compared to models from OpenAI and Google [7][15]. Group 2: Model Performance - The top three models in terms of success rate are: 1. Google Gemini 3 Flash with a success rate of 95.1% 2. MiniMax M2.1 with a success rate of 93.6% 3. Kimi K2.5 with a success rate of 93.4% [11]. - In terms of speed, MiniMax M2.5 outperformed other models, achieving the fastest completion time of 105.96 seconds [12][10]. - However, in pricing, the cheapest model from OpenAI, GPT-5-nano, offers significantly lower costs compared to the MiniMax models, with input prices at $0.05 per million tokens versus MiniMax M2.1's $2.1 [15][17]. Group 3: Evaluation Methodology - PinchBench employs a combination of automated checks and LLM evaluations to assess model performance across various real-world tasks, focusing on the ability to complete entire workflows rather than just answering questions [25][29]. - The benchmark includes 23 real tasks across categories such as productivity, research, writing, coding, analysis, email management, memory, and skills [26][28]. - The results indicate that larger models do not always outperform smaller, more efficient models, which has sparked discussions within the community [31][32].