Unified API platform to access 100+ video, image, audio, and text AI models at up to 70% lower cost.
Crun AI is a unified API platform that gives developers and businesses access to over 100 AI models through a single interface. It supports video generation (Sora 2, Veo 3.1), image creation (Flux, Midjourney, GPT Image), audio and music (Suno), and LLMs (GPT-5, Claude) with OpenAI-compatible endpoints. The pay-as-you-go pricing runs 30-50% below direct provider costs. Built for teams building AI SaaS products, agents, and automation workflows who want to skip multi-vendor headaches.
Crun AI is a unified API platform that gives you access to over 100 AI models for video, image, audio, and text generation through a single API key. It acts as an aggregator, so you don't need separate accounts with each model provider.
Crun supports a wide range of AI models across video, image, audio, and text from providers like OpenAI, Google, Alibaba, and others. Models are continuously updated and added as they become stable, and each one can be tested in the built-in playground.
Crun uses a pay-as-you-go pricing model with no subscriptions. Pricing is typically 30% to 50% lower than official APIs, with some models discounted up to 80%. Prices can change over time as upstream providers adjust their rates, so it is best to check the pricing page for the latest details.
Crun provides free credits for new users, allowing you to test models before committing to paid usage.
Crun is built for developers, startups, and businesses that need multi-model AI access without the overhead of managing separate provider integrations. It's particularly useful for teams building AI-powered SaaS products, content generation pipelines, and automation workflows.
Crun applies usage limits per API key, including hourly, daily, and total caps. For example, there is a default limit on how many requests you can send within a short time window. If limits are exceeded, requests return a 429 error, and higher limits can be requested through support.
Crun is designed to support production workloads and long-term use. However, the team states that stability may be slightly lower than official providers due to its lower pricing model. This trade-off allows for cost savings while still maintaining usable performance for most applications.
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