免费 / 开源具备极为强悍的开源权重推理表现,但相较于 Gemma 的轻量边缘设计,它更聚焦于代码与数学。

OpinioAI is an AI-powered market research platform that builds synthetic personas and AI-powered surveys so you can gather customer insights, test messaging and evaluate creative without lengthy traditional research cycles.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | ai.google.dev | opinio.ai |
| 定价模式 | 免费增值,付费 | 免费增值,付费 |
| 月访问量 | 490.09万 (4,900,914) | 0 (0) |
| 月度环比流量变化 | -76.28万 (-13.5%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (15.2%) | 🌐 全球 (—) |
| 直接访问 / 月 | 126.09万 | 0 |
| 用户评分 | 4.8 | 4.3 |
| 支持的平台 | 网站 | 网站 |

Google 的轻量级开放权重 AI 模型家族
各种规模的模型检查点均公开,可自行托管推理、微调、蒸馏,并在自有产品中分发输出结果。
家族覆盖设备端小模型、中等规模稠密与多模态模型以及编码器-解码器变体,便于按硬件预算匹配模型能力。
TranslateGemma、EmbeddingGemma、MedGemma、ShieldGemma、FunctionGemma 等专用成员分别面向翻译、检索、医学影像、安全过滤与边缘函数调用。
官方与社区工具覆盖 Keras、JAX、PyTorch 与 TensorFlow,并提供量化路径以及与 Vertex AI、Colab、AI Studio 和主流模型平台的集成。

OpinioAI is an AI-powered market research platform that builds synthetic personas and AI-powered surveys so you can gather customer insights, test messaging and evaluate creative without lengthy traditional research cycles.
Create AI personas that represent your target customers, then query them to explore perceptions, preferences and reactions.
Run synthetic research and surveys to gather fast feedback on concepts, copy and creative before committing budget.
Test advertising, messaging and creative ideas against AI personas to see what resonates before launch.
Analyse research responses and turn them into structured insights for segmentation and positioning decisions.
免费 / 开源具备极为强悍的开源权重推理表现,但相较于 Gemma 的轻量边缘设计,它更聚焦于代码与数学。

免费 / 开源提供相当的开源权重多语言与多模态功能,但源自阿里生态系统而非谷歌。
免费 / 开源能轻松在本地运行 Gemma 及其他开源模型,但需要本地硬件资源而非云端 API。
精准研究受众搭配 AI 校验的数据质量

提供强大的无服务器 API 以大规模托管开源模型,但缺乏 Google 特定的原生硬件优化。

Simplifies running and fine-tuning open models via simple APIs, but operates as a general third-party cloud hosting platform.
Simplifies running and fine-tuning open models via simple APIs, but operates as a general third-party cloud hosting platform.
专项更强Provides dramatically faster and memory-efficient fine-tuning for open models, but is a training toolkit rather than a base model.
专项更强Provides dramatically faster and memory-efficient fine-tuning for open models, but is a training toolkit rather than a base model.
以问卷规模获得定性研究的深度,由 AI 主持