涵蓋 459 類工作流程，透過流量估算、產品功能與替代方案協助選擇。
“AI Model” · 程式設計與開發·792 個結果
重新開始
阿里雲第四代基礎大模型家族與全模態 AI 助手 — 涵蓋 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 與 Qwen 3.8-Flash-Next 架構
阿里雲第四代基礎大模型家族與全模態 AI 助手 — 涵蓋 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 與 Qwen 3.8-Flash-Next 架構
MiniMax Image-01 is MiniMax's open-weight image generation model, available through the MiniMax API and MiniMax Design. It turns text prompts into high-resolution visuals and powers image workflows inside MiniMax's broader model family.
MiniMax Image-01 is MiniMax's open-weight image generation model, available through the MiniMax API and MiniMax Design. It turns text prompts into high-resolution visuals and powers image workflows inside MiniMax's broader model family.
智譜 AI 的 GLM 大模型開放平台，多模態 API 與代理開發一次到位
ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
Google 的快速原型開發 IDE 與開發者 API 工作台，用於建構以 Gemini 模型為基礎的多模態應用程式。
檢查你的顯卡或 Mac 究竟能跑哪些本地 AI 模型
一個 API 串接 1500+ 可上線的生成式媒體模型
在一個訂閱中並排比較 ChatGPT、Claude、Gemini 及 30 多款 AI 模型
一組相容 OpenAI 的 API，串接 500+ 圖像、影片、音訊與大模型
由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
Google DeepMind 榜首級資安防禦與長週期智慧體工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4)，繼 Gemini 4 Argon 後的巔峰之作
Google DeepMind 榜首級資安防禦與長週期智慧體工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4)，繼 Gemini 4 Argon 後的巔峰之作
一個通用 API，串接 500+ AI 模型與 1,000+ 代理工具
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
