Google Gemma 開源模型每月有 4,900,914 次造訪，月增率 -13.5%，定價模式為免費增值、付費。OpinioAI 每月有 0 次造訪，成長率 0%，定價模式為免費增值、付費。
Google 的輕量級開放權重 AI 模型家族
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.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | ai.google.dev | opinio.ai |
| 定價模式 | 免費增值、付費 | 免費增值、付費 |
| 每月造訪次數 | 490.09萬 (4,900,914) | 0 (0) |
| 月流量變化量 | -76.28萬 (-13.5%) | 0 (0%) |
| 主要市場與市佔 | 🇺🇸 美國 (15.2%) | 🌐 全球 (—) |
| 每月直接造訪 | 126.09萬 | 0 |
| 使用者評分 | 4.8 | 4.3 |
| 支援平台 | 網站 | 網站 |
Google 的輕量級開放權重 AI 模型家族
各種規模的模型檢查點均公開，可自行託管推論、微調、蒸餾，並在自有產品中分發輸出結果。
家族涵蓋裝置端小模型、中等規模稠密與多模態模型以及編碼器-解碼器變體，便於依硬體預算匹配模型能力。
TranslateGemma、EmbeddingGemma、MedGemma、ShieldGemma、FunctionGemma 等專用成員分別面向翻譯、檢索、醫學影像、安全過濾與邊緣函式呼叫。
官方與社群工具涵蓋 Keras、JAX、PyTorch 與 TensorFlow，並提供量化路徑以及與 Vertex AI、Colab、AI Studio 和主流模型平台的整合。
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.
免費 / 開源具備極為強悍的開源權重推理表現，但相較於 Gemma 的輕量邊緣設計，它更聚焦於程式碼與數學。
免費 / 開源提供相當的開放權重多語言與多模態功能，但源自阿里生態系而非Google。
免費 / 開源能輕鬆在地執行 Gemma 及其他開源模型，但需要本地硬體資源而非雲端 API。
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.
專項更強Provides dramatically faster and memory-efficient fine-tuning for open models, but is a training toolkit rather than a base model.
專項更強Provides dramatically faster and memory-efficient fine-tuning for open models, but is a training toolkit rather than a base model.
