Perplexity Teammates 支持自选任意前沿模型和推理力度
Perplexity 的 Teammates 现在能让你给每个智能体单独挑模型和推理力度，邮件摘要用便宜的档，代码审查再上高强度，不像别的助手一刀切。做自动化工作流的人可以直接上手试。
Perplexity 的 Teammates 功能允许用户在创建智能体时自由选择底层模型和推理力度（effort level），用户可以从任意一个前沿模型中挑选，而不是被固定在一个默认模型上。开发者 Morgan Linton 在实测中指出，日常邮件摘要用低推理力度即可，而股票研究或代码审查则需要更高配置，其他 AI 助手大多对全部任务套用同一模型和力度。
Linton 一直通过 VulcanBench 基准测试研究任务复杂度与模型选择的匹配关系，他认为按任务动态配置模型和推理力度是目前大多数竞品缺失的能力，Perplexity 是唯一做到的产品。他表示这让他时隔一段时间重新回到 Perplexity 阵营，并希望 Grok Bot、Muse 等产品跟进类似功能。
Teammates are awesome, and you can build them with any frontier model of your choice on Perplexity. No other product lets you do this. Morgan @morganlinton Perplexity Teammates is really growing on me, really dig that I can select model and effort level. This has been one of my biggest challenge with other ai assistants, I think it’s limiting if you’re using the same model and effort level for everything. For anyone following the benchmarking I’ve been doing with @VulcanBench you know how deep I’ve gone into really understanding what model and effort level you need based on things like task complexity. With ai personal assitants, I don’t need the same model/effort level to do a daily email summary as I do for more complex stock research or code review. I know in the future, the idea is that labs will determine what model/effort level you need, but right now it’s clear to me that most ai assistants just use the same model and effort level for everything…except for Perplexity. Personally I’d like to see Grok Bot, Muse, etc. offer something similar. This is pulling me back into the Perplexity camp after quite a hiatus on my part. 🔗 View Quoted Tweet📊 9 ⚡
本条情报归属 AITOP「产品」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：Perplexity、Teammates、智能体、多模型选择，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。
信源核验说明：本文原始线索采编自「Aravind Srinivas」（@AravSrinivas），经 AITOP 多维评分管线结构化提炼。
