今日在 OpenRouter 上线:Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite!
两者均为其模型系列的重大更新,具备高吞吐量(150+ tok/s),适用于智能体场景,从高效 token 的编码与知识工作,到低延迟、高并发的子智能体。
详情如下 🧵
Launching today on OpenRouter: Gemini 3.6 Flash and Gemini 3.5 Flash-Lite! Both are major updates to their model series, featuring high throughput (150+ to...
Launching today on OpenRouter: Gemini 3.6 Flash and Gemini 3.5 Flash-Lite!
Both are major updates to their model series, featuring high throughput (150+ tok/s), suitable for agent scenarios, from efficient token encoding and knowledge work to low-latency, high-concurrency sub-agents. Details as follows 🧵
今日在 OpenRouter 上线:Gemini 3.6 Flash 和 Gemini 3.5 Flash-Lite!
两者均为其模型系列的重大更新,具备高吞吐量(150+ tok/s),适用于智能体场景,从高效 token 的编码与知识工作,到低延迟、高并发的子智能体。
详情如下 🧵
OpenRouter 宣布上线 Gemini 3.6 Flash 与 Gemini 3.5 Flash-Lite,并称两款模型均为各自系列的重大更新,吞吐量达到 150+ tok/s,面向多类智能体使用场景。
公开材料将两款模型的应用范围描述为编码、知识工作及子智能体任务,其中编码与知识工作强调 token 效率,子智能体场景则强调低延迟和高并发。
Aioga 判断,此次更新的核心信息是 OpenRouter 扩充了面向智能体工作负载的模型选择。值得关注的是,现有材料仅提供平台方概述,尚不足以比较实际效果。
这些模型可能为需要较高生成吞吐量的智能体流程提供新选项,并可能适配并发子任务。其成本、稳定性、上下文能力及相对其他模型的优势,材料均未说明。 建议关注 OpenRouter 后续线程或产品页面是否披露价格、上下文窗口、接口参数、评测结果与可用范围,并在真实编码、知识工作和并发子智能体任务中验证表现。
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