AI模型聚合平台OpenRouter 8月20日发布推文，宣布上线一款代号为Ox Alpha的匿名新模型。官方没有透露模型开发方，只将其描述为一款面向编码、长时间智能体任务和实际生产环境的前沿模型。
模型参数信息不多：Ox Alpha的上下文窗口约为104.8万token，最大输出长度为13.1万token，同时支持文本、图像和视频输入，预览期间可以免费调用。开源终端编程智能体OpenCode也在当天宣布接入这款模型，并表示为其准备了每天100万亿token的调用容量。
上线数小时后，Ox Alpha 迅速吸引了社区注意力，多位开发者对其展开密集测试。
独立研究员本·戴维斯(Ben Davis)选取软件工程基准DeepSWE中的10个子任务进行测试，Ox Alpha的通过率约为80%，高于Claude Fable 5的65%、GLM-5.3和Grok 4.6的 62%，以及GPT-5.6 Sol的52%。不过，这组结果来自戴维斯的个人测试，DeepSWE官方排行榜目前尚未收录Ox Alpha。
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