Multi-model access
Select supported language and media models through Atlas Cloud, using the model-specific options and billing rates.
什麼是 Atlas Cloud？
Atlas Cloud is a developer platform for accessing language, image, video and other AI models through a shared account and API key. Choose a supported model and supply its required inputs to build chat or media-generation workflows without managing separate provider accounts.
Chat completions can return directly or stream text. Image and video generation use separate asynchronous endpoints: submit a task, receive a prediction ID, then retrieve its status and output URLs. Inference uses a funded balance, while the Coding Plan has a separate quota and purchase flow.
Atlas Cloud 能做什麼？
LLM chat integration
Use the OpenAI-compatible chat-completions endpoint for supported LLMs, with direct or streaming responses. This compatibility does not make every media API use the same request format.
Asynchronous image and video tasks
Submit media-generation requests and track them by prediction ID. Completed tasks return output URLs for your application to use.
Media uploads
Upload files through the media-upload endpoint when a generation workflow needs reference content, then use the selected model's required parameters.
Shared inference billing
Manage model usage through one account balance and review usage and costs in the console. Different models have different charge units.
使用情境
“Build a chat application”
Connect a supported LLM through chat completions and process its text response or streaming chunks.
“Create a media pipeline”
Submit image or video jobs, poll their status and collect completed outputs instead of treating generation as an immediate chat response.
“Compare model options”
Test the same workload with available models and compare the resulting output, required inputs and billed usage before choosing an integration.
常見問題
How is ordinary API inference priced?
It is pay-as-you-go in USD from a funded account balance; a subscription is not required for these API calls. LLMs are token-billed, while media charges depend on the model, operation, resolution, duration or token usage. Use the selected model's current rate and options to estimate cost.
Is every endpoint OpenAI-compatible?
The LLM chat-completions endpoint uses that protocol. Image and video tasks use Atlas Cloud's separate generation and prediction endpoints, with model-specific inputs. One API key does not mean identical request schemas or features across all models.
How do account credits work?
Ordinary API charges use subscription credits first, then cash balance, then bonus credits. Purchased credits expire 365 days after purchase; promotions and redeem codes can have their own expiry. Insufficient available balance causes new API requests to be rejected.
Is the Coding Plan the same as the inference balance?
No. It uses coding-plan API keys and a separate quota. Monthly subscriptions last 30 days with monthly and weekly caps; the separate pay-as-you-go pack lasts 90 days. Coding-plan requests do not consume the normal account balance, and new purchases or renewals use Stripe rather than account or promotional credits.
快速資訊
- Primary users
- Developers building model-backed applications
- Modalities
- Language, image, video and other supported media models
- Chat workflow
- Synchronous or streaming completions
- Media workflow
- Asynchronous task, prediction status and output URLs
- Billing
- Paid on-demand inference; separate Coding Plan quota
Atlas Cloud 流量分析
流量數據僅供參考。
- 月造訪量
- 131.3萬
- 全球排名
- #32,211
- 使用者跳出率
- 42.0%
- 平均造訪時長
- 05:22
- 每次造訪頁數
- 6.32
- 網域評分
- 68
流量趨勢
| 6月 | 1269010 |
|---|---|
| 7月 | 1539732 |
| 8月 | 1313013 |
流量來源
尚無流量分析數據。
主要造訪地區
- 未知: 42.9%
- 未知: 5.46%
- 未知: 5.18%
- 未知: 3.62%
- 未知: 3.41%
- 未知: 39.4%
Atlas Cloud 替代品
Vidu API
platform.vidu.com
Vidu API is a developer platform for integrating AI video generation into applications. It provides API workflows for text-, image-, keyframe-, and reference-based video creation, along with access to other Vidu model capabilities.
Gemini API
ai.google.dev
Gemini API is a developer API for integrating Google’s generative AI models into applications. It supports text and image generation, multimodal analysis, conversational agents, structured outputs, tool use, and related media workflows through SDKs or REST.