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Runpod Public Endpoints provide instant access to state-of-the-art AI models through simple API calls. Generate images, videos, audio, and text without deploying infrastructure or managing GPU resources.
Public Endpoints are pre-deployed models hosted by Runpod. If you want to deploy your own models or custom code, use Runpod Serverless.

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Why use Public Endpoints?

  • No deployment required. Start generating immediately with a single API call. No containers, GPUs, or infrastructure to configure.
  • Production-ready models. Access optimized versions of Flux, Whisper, Qwen, and other popular models, tuned for performance.
  • Pay per use. Pay only for what you generate, with transparent per-megapixel, per-second, or per-token pricing.
  • Simple integration. Standard REST API with OpenAI-compatible endpoints for LLMs. Works with any HTTP client or SDK.

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When to use Public Endpoints

Public Endpoints are ideal when you want to use popular AI models without managing infrastructure. Choose Public Endpoints when:
  • You need quick access to standard models. Generate images with Flux, transcribe audio with Whisper, or chat with Qwen without setup.
  • You want predictable pricing. Pay-per-output pricing makes costs easy to estimate and budget.
  • You’re prototyping or building MVPs. Test ideas quickly before committing to custom infrastructure.
Consider Runpod Serverless instead if you need custom models, specialized preprocessing, or full control over your inference environment.

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Get started

Quickstart

Generate your first image in under 5 minutes.

Make API requests

Use the playground and REST API.

Vercel AI SDK

Integrate with JavaScript and TypeScript projects.

Model reference

Browse available models and their parameters.

Build a text-to-video pipeline

Chain multiple endpoints to generate videos from text.

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How it works

When you call a Public Endpoint, Runpod routes your request to a pre-deployed model running on optimized GPU infrastructure. The model processes your input and returns the result.
Public Endpoints support two request modes:
  • Synchronous (/runsync): Wait for the result and receive it in the response. Best for quick generations.
  • Asynchronous (/run): Receive a job ID immediately and poll for results. Best for longer generations or batch processing.
For JavaScript and TypeScript projects, the @runpod/ai-sdk-provider package integrates Public Endpoints with the Vercel AI SDK, providing a streamlined interface for text generation, streaming, and image generation.

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Available model types

Public Endpoints offer models across four categories:
TypeModelsUse cases
ImageFlux Dev, Flux Schnell, Qwen Image, SeedreamText-to-image generation, image editing
VideoWAN 2.5, Kling, Seedance, SORA 2Image-to-video, text-to-video generation
AudioWhisper V3, Minimax SpeechSpeech-to-text transcription, text-to-speech
TextQwen3 32B, IBM GraniteChat, code generation, text completion
For a complete list of models with endpoint URLs and parameters, see the model reference.

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Pricing

Public Endpoints use transparent, usage-based pricing:
Model typeExamplePrice
Image generationFlux Dev$0.02 per megapixel
Image generationFlux Schnell$0.0024 per megapixel
Video generationWAN 2.5$0.50 per 5 seconds
Audio transcriptionWhisper V3$0.05 per 1000 characters
Text generationQwen3 32B$10.00 per 1M tokens
Pricing is calculated based on actual output. You will not be charged for failed generations.
Example cost calculations for image generation:
  • 512x512 image (0.26 MP) with Flux Dev: ~$0.005
  • 1024x1024 image (1.05 MP) with Flux Dev: ~$0.021
  • 1024x1024 image (1.05 MP) with Flux Schnell: ~$0.0025
For complete pricing information, see the model reference.

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Next steps