Models.dev 每月有 200,451 次造訪，月增率 -3.9%，定價模式為免費。Semantic Scholar 每月有 8,198,672 次造訪，成長率 +5.8%，定價模式為免費。
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
| 面向／指標 |  | |
|---|---|---|
| 官方網域 | models.dev | semanticscholar.org |
| 定價模式 | 免費 | 免費 |
| 每月造訪次數 | 20.05萬 (200,451) | 819.87萬 (8,198,672) |
| 月流量變化量 | -8167 (-3.9%) | +45.07萬 (+5.8%) |
| 主要市場與市佔 | 🇨🇳 中國 (23%) | 🇺🇸 美國 (22.9%) |
| 每月直接造訪 | 13.63萬 | 188.44萬 |
| 使用者評分 | 4.4 | 4.8 |
| 支援平台 | 網站 | 網站 |
開源 AI 模型資料庫，價格與能力一目了然
每個模型採用統一的 provider/model 格式，方便跨供應商直接對比同一模型。
並排查看上下文視窗、輸出上限、推理、工具呼叫、結構化輸出與溫度支援。
列出每百萬 token 的輸入輸出價格，並標註發布與更新日期。
在一個可排序目錄中同時涵蓋閉源旗艦 API 與各實驗室的開放權重模型。
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.
Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.
An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.
See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.
專項更強Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
專項更強Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
專項更強具備優秀的視覺化引用收集與文獻追蹤推薦功能，但缺少行內論文摘要功能。
專項更強提供卓越的學術論文關聯視覺化圖譜對應，但缺乏傳統的關鍵字搜尋與全文閱讀工具。
為文獻回顧與可稽核系統性回顧打造的 AI 原生研究工作台
專項更強Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs.
專項更強Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
專項更強Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
專項更強Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
專項更強Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
專項更強Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables.
