Moonshot
$200
输入tokens/百万
输出tokens/百万
131
上下文长度
UCSC-VLAA
VLAA-Thinker是一个创新的视觉语言模型，能够同时处理图像和文本输入，并生成高质量的文本输出。该模型基于论文《SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models》的研究成果开发，专注于类似R1的推理能力。
这是一个通过Model Context Protocol（MCP）将TrainingPeaks训练数据平台连接到Claude等AI助手的服务器。它允许用户通过自然语言查询训练数据、分析训练负荷、比较功率数据并跟踪体能趋势，无需等待官方API审批，使用安全的Cookie认证。
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