依功能與用途,為你挑選 12 款 Taam Cloud 的替代工具。
| 排名 | 工具與標語 | 官方網域 | 每月造訪次數 | 月增幅 | 定價模式 | 主要市場 | 評分 | 比較 |
|---|---|---|---|---|---|---|---|---|
| ● | Taam Cloud |
| taam.cloud |
| 0 |
| 0 (0%) |
| 免費試用、付費、需聯絡報價 |
| 全球 |
| — |
| 簡介 |
| 1 | OpenRouter | openrouter.ai | 1994.14萬 | -132.65萬 (-6.2%) | 付費 | 美國 | 4.8 | 比較 |
| 2 | OpenAI 平台 | openai.com | 2.35億 | -2478.28萬 (-9.6%) | 付費 | 美國 | 4.8 | 比較 |
| 3 | LLM Gateway | llmgateway.io | 16.84萬 | -2.85萬 (-14.5%) | 免費增值、需聯絡報價 | 南韓 | 4.6 | 比較 |
| 4 | OrcaRouter | orcarouter.ai | 97.53萬 | -5.38萬 (-5.2%) | 免費增值 | 美國 | 4.3 | 比較 |
| 5 | BigModel(智譜大模型開放平台) | bigmodel.cn | 570.07萬 | -116.89萬 (-17%) | 免費增值 | 中國 | 4.6 | 比較 |
| 6 | Together AI | together.ai | 164.59萬 | 64.77萬 (+64.9%) | 免費增值、付費 | 美國 | 4.7 | 比較 |
| 7 | Portkey | portkey.ai | 19.57萬 | -2.04萬 (-9.4%) | 免費增值、付費、需聯絡報價 | 美國 | 4.7 | 比較 |
| 8 | Groq | groq.com | 398.79萬 | 36.27萬 (+10%) | 付費 | 印度 | 4.7 | 比較 |
| 9 | LiteLLM | litellm.ai | 57.7萬 | 4.25萬 (+7.9%) | 免費增值、需聯絡報價 | 美國 | 4.8 | 比較 |
| 10 | AiHubMix | aihubmix.com | 23.85萬 | -4.58萬 (-16.1%) | 需聯絡報價 | 中國 | 4.2 | 比較 |
| 11 | BytePlus | byteplus.com | 303.61萬 | -130.24萬 (-30%) | 免費增值、付費 | 越南 | 4.3 | 比較 |
| 12 | DeepInfra | deepinfra.com | 45.78萬 | -4.45萬 (-8.9%) | 付費 | 美國 | 4.6 | 比較 |
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.

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

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.