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MuAPI

A unified generative AI API platform that lets developers run leading video, image, audio, and LLM models such as FLUX, Kling, Seedance, and Nano Banana through one consistent, pay-as-you-go interface.

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Description

MuAPI is a unified AI API platform that gives developers access to leading video, image, audio, and language models through a single consistent interface. Instead of integrating providers one by one, users connect to 100+ top-tier models with clearer documentation and competitive pricing, often around 30% lower than official pricing.

Supported models span categories: Seedance, Veo, and Kling for video; FLUX, Midjourney, and DALL-E 3 for images; Suno and ElevenLabs for audio; and Claude, GPT, and Gemini for LLMs. Switching models is as simple as changing a single model_id parameter, so teams can move between models without rebuilding their backend.

MuAPI uses flexible pay-as-you-go credit pricing with no monthly subscription fees, and credits do not expire. Failed tasks are not charged, every model page includes a playground for testing, new users receive free credits, and generated assets can be used for both personal and commercial projects.

MuAPI's Core Features

  • Unified API for 100+ video, image, audio, and LLM models

  • Single standardized interface with model switching via one parameter

  • Pay-as-you-go credit pricing with no monthly fees

  • No charge for failed generation tasks

  • Per-model playgrounds for testing before integration

  • Free credits for new users

  • Full commercial ownership of generated assets

  • Non-expiring credits and production-ready reliability

How to use MuAPI?

  1. Create an account: Sign up and claim free credits for testing.

  2. Explore models: Browse the model list and open a model's playground to try it.

  3. Read the docs: Review endpoints, parameters, and integration details at the documentation.

  4. Integrate: Call the unified API and select a model by its model_id.

  5. Scale up: Run production workloads and switch models by changing the model_id when needed.

MuAPI's Use Cases

  • Add generative media
  • Compare models
  • Multi-model products
  • Cost-efficient scaling

FAQ from MuAPI

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