Initially I aimed to test with at least 10 formulas for each model for SAT/UNSAT, but it turned out to be more expensive than I expected, so I tested ~5 formulas for each case/model. First, I used the openrouter API to automate the process, but I experienced response stops in the middle due to long reasoning process, so I reverted to using the chat interface (I don't if this was a problem from the model provider or if it's an openrouter issue). For this reason I don't have standard outputs for each testing, but I linked to the output for each case I mentioned in results.
细看OpenAI的硬件布局，抢入口的野心暴露无遗，其设备远非“能对话的音箱”那么简单，根据信息，它计划集成微型摄像头、肌电传感器与xMEMS超声波单元。
。体育直播对此有专业解读
这是月之暗面“模型即Agent”的逻辑。目前，绝大多数Agent产品的智能上限仍由模型能力决定，只有拥有强大、可控、具有上下文和复杂推理能力的自研基座模型，才能支撑起用户理想中的“Agent”，而这也更符合Kimi长期聚焦长文本的优势。
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// 创建 MCP Client