
依功能與用途,為你挑選 12 款 Together AI 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 |
|---|
| ● | Together AI | together.ai | 164.59萬 | 64.77萬 (+64.9%) | 免費增值、付費 | 美國 | 4.7 | 簡介 |
| 1 | DeepInfra | deepinfra.com | 45.78萬 | -4.45萬 (-8.9%) | 付費 | 美國 | 4.6 | 比較 |
| 2 | Fireworks | fireworks.ai | 65.97萬 | 3.73萬 (+6%) | 需聯絡報價 | 美國 | 4.6 | 比較 |
| 3 | OpenRouter | openrouter.ai | 1994.14萬 | -132.65萬 (-6.2%) | 付費 | 美國 | 4.8 | 比較 |
| 4 | Groq | groq.com | 398.79萬 | 36.27萬 (+10%) | 付費 | 印度 | 4.7 | 比較 |
| 5 | Replicate AI | replicate.com | 90.4萬 | -8.26萬 (-8.4%) | 付費 | 美國 | 4.6 | 比較 |
| 6 | Novita AI | novita.ai | 27.14萬 | -3.15萬 (-10.4%) | 付費 | 美國 | 4.4 | 比較 |
| 7 | Google AI Studio | aistudio.google.com | 1.13億 | 219.3萬 (+2%) | 免費增值 | 美國 | 4.8 | 比較 |
| 8 | OpenAI 平台 | openai.com | 2.35億 | -2478.28萬 (-9.6%) | 付費 | 美國 | 4.8 | 比較 |
| 9 | fal.ai | fal.ai | 309.37萬 | -11.99萬 (-3.7%) | Paid, pay-as-you-go usage-based pricing | 美國 | 4.7 | 比較 |
| 10 | Chutes | chutes.ai | 25.02萬 | -4.49萬 (-15.2%) | 付費 | 美國 | 4.7 | 比較 |
| 11 | Unsloth AI | unsloth.ai | 88.75萬 | -19.01萬 (-17.6%) | 免費 | 美國 | 4.8 | 比較 |
| 12 | SiliconFlow | siliconflow.com | 27.63萬 | -3.25萬 (-10.5%) | Pay-as-you-go | 美國 | 4.6 | 比較 |
除了標準文字 LLM 外,還高度專注於部署自訂機器學習模型與媒體生成管線。

專項更強Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
專項更強Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.

專項更強Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.

專項更強一個 API 串接 1500+ 可上線的生成式媒體模型
免費 / 開源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
免費 / 開源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
用一個 API 快速、可預測成本地執行 LLM 與多模態模型