Deepvote提出任何问题，获取10+ AI模型对最佳答案的投票。

4.7 (6)

审阅者 Daniel Nikulshyn·更新 2026年7月

Multi-Model LLM Decision Support Aggregation Comparison Research Productivity

概览

Deepvote 是一个平台，允许用户提问并从超过 10 个 AI 模型中获取对最佳答案的投票。它似乎面向希望从多个 AI 来源获取意见或洞见的用户。使用本服务即表示用户同意《使用条款》和《隐私政策》。该平台通过聚合来自各种 AI 模型的响应，提供一种独特的方式，可能比依赖单一 AI 的输出更全面。不过，网站未提供所使用的 AI 模型、投票机制以及潜在的局限性或偏见的具体细节。

主要功能

跨 10+ LLM 的多模型投票
基于投票的聚合答案
模型并排比较
单提示界面
共识与分歧洞察

价格

模型: Freemium
分类: AI Agents
评分: 4.7 / 5 (6)

使用场景

跨模型事实核查

一次向 10+ LLM 提出事实性问题，利用聚合投票快速评估答案的可信度后再进行使用。

决策共识

提出建议或判断，让多个 AI 模型投票，帮助您基于共识而非单一模型偏见做出更平衡的选择。

多元 AI 输入的头脑风暴

使用单一提示收集众多模型的多元视角，呈现共同想法和异常建议，以支持创意或战略工作。

比较 LLM 行为

研究人员和开发者可在模型之间并排运行相同提示，研究 LLM 之间的共识、分歧及推理差异。

优点 & 缺点

优点

一次查询即可聚合 10+ AI 模型的意见
降低对单一模型偏见的依赖
适用于快速共识检验
使用单一提示即可轻松操作

缺点

多数投票并不总是正确
缺乏对单个模型推理的透明度
可能比查询单个模型更慢
多模型使用成本可能累积

评测

4.7

6 个评分的平均值。

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Victor Nguyen

Apr 29, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on side-by-side model comparison, and aggregates opinions from 10+ AI models in one query caught me off guard. Costs can add up across multiple models is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Margaret Whitfield

Mar 14, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is single-prompt interface — handled better than most — and reduces reliance on a single model's bias. Worth the time if this is your use case.

Liam O’Connor

Sep 24, 2025

Years in this space

Ingrid Bauer

Jul 22, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: single-prompt interface and aggregates opinions from 10+ AI models in one query. On balance the feature set — especially multi-model polling across 10+ LLMs — justifies the 5 stars for our use case.

Gunnar Eriksson

Jun 2, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on multi-model polling across 10+ LLMs, and useful for quick consensus checks caught me off guard. May be slower than querying one model is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Ethan Brooks

May 28, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: aggregated vote-based answers and useful for quick consensus checks. Where it lags: majority vote isn't always correct. On balance the feature set — especially single-prompt interface — justifies the 4 stars for our use case.