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Atlas Cloud

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Build text and media AI workflows with one model-access account and API key.

O que é 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.

O que Atlas Cloud pode fazer?

Multi-model access

Select supported language and media models through Atlas Cloud, using the model-specific options and billing rates.

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.

Casos de uso

“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.

Perguntas frequentes

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.

Informações rápidas

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

Análise de tráfego de Atlas Cloud

Os dados de tráfego são apenas para referência.

Visitas mensais
1,3 mi
Classificação global
#32.211
Taxa de rejeição
42.0%
Duração média da visita
05:22
Páginas por visita
6.32
Classificação do domínio
68

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