Subquadratic 发布 SubQ Snap 决策模型，单次支持 384K tokens
Subquadratic 这个 SubQ Snap 挺有意思，10 万 tokens 不到一秒出决策，输出还免费，拿来做销售线索筛选这种批量判断活儿成本很低。
Subquadratic 推出的决策模型 SubQ Snap 可在不到一秒内处理 10 万 tokens 并返回决策结果。该模型单次调用最多支持 38.4 万 tokens 输入，同时接受文本和图像。定价为每百万输入 tokens 0.05 美元，缓存与否价格相同，输出免费。典型用法是销售线索筛选：用历史成单和丢单数据判断新线索质量，再交给前沿模型撰写后续触达内容。
Subquadratic says SubQ Snap processes 100K tokens and returns a decision in *under a second*.
Its new decision model supports up to 384K tokens in one call, including text and images. The team’s pricing is $0.05 per million input tokens, cached or uncached, with free output.
Lead qualification is a good example: check each new lead against deals you’ve already won or lost, then let a frontier model write the outreach for the ones that look promising. Your past deals end up guiding the next ones.
