Crun is a unified AI API for accessing video, image, audio, and text models through one interface, with provider integration, usage monitoring, and credit-based pricing.
Crun is a unified AI API platform for developers and businesses that want to access top video, image, audio, and text models through a single interface. The site positions it as a way to simplify integration while still exposing a wide model catalog, including models for video generation, image generation, audio generation, and large language model tasks.
The product emphasizes developer workflow: create an API key, choose a model, send a request, and retrieve results from the same API. Crun also highlights OpenAI compatibility, usage monitoring, logs, and transparent credit-based pricing so teams can integrate models without managing separate providers individually.
Access video, image, audio, and text models through one API instead of integrating each provider separately. The site highlights support for 100+ top AI models and lists providers such as OpenAI, Anthropic, Google, Alibaba, ByteDance, Kling, Runway, and Suno.
The platform includes a broad model catalog with video generation, image generation, audio generation, and LLM options. Example models shown on the site include Veo 3.1, Wan 2.6, Seedream 5.0 Lite, Vidu Q3, GPT Image 2, and Claude models.
Crun presents itself as OpenAI-compatible and describes the API as a drop-in replacement with one-line migration support. The home page also shows a sample request flow using an API key and a CreateTask endpoint.
The pricing page shows transparent per-request pricing, credit-based plans, and higher-tier discounts. It also compares Crun’s prices with platform rates from official providers, FAL, and OpenRouter for some models.
The site advertises real-time usage and log monitoring, with a dedicated API Usage page and controls for tracking credit consumption. The API key page also shows IP whitelist, model limits, and safe-spend limits.
The home page highlights 99.9% uptime, smart routing, global infrastructure, and developer docs with interactive examples. It also states that support is available 24/7.
Teams building products that need to switch between image, video, audio, or LLM models can use Crun to keep integration work in one place instead of wiring multiple providers separately.
Developers migrating from an OpenAI-style workflow can use the platform’s compatibility positioning and sample request flow to adapt existing code with less rewrite effort.
Product teams can compare model costs on the pricing page and use the credit plans to evaluate usage patterns before selecting a higher-volume tier.
Applications that need to monitor spend and request activity can use the usage page, logs, and safe-spend controls to watch consumption over time.
Builders experimenting with media generation models can use the model catalog and API key workflow to test video, image, and audio outputs in a single platform.
Crun provides a unified API for accessing image, video, audio, and text models. The site says users sign up, create an API key, choose a model, send requests, and then receive results through the same workflow.
Yes. The site states that Crun offers a free trial so new users can explore the APIs before choosing a paid plan.
Crun describes its pricing as a point-based, pay-as-you-go model with transparent per-request pricing and volume discounts. The pricing page also says higher-tier credit plans unlock lower model costs.
The site lists API keys, billing, API usage, logs, and API updates in its navigation, and the API key page shows controls for IP whitelisting, model limits, and safe-spend limits.
Crun says it provides documentation, an interactive playground, and Python, JavaScript, and cURL examples to help with integration.
Traffic data is for reference only.
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