Unified API for image, video, and audio generation with persistent storage
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
HiAPI — Unified API for image, video, and audio generation with persistent storage. Best for Developers building generative AI applications with multiple models, Teams needing multi-model access without managing separate provider keys, AI agent developers using MCP or llms.txt for autonomous media generation. Plans from $5/mo.
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HiAPI is a practical choice for developers who want a single API to access multiple cutting-edge generative models without infrastructure headaches. Its agent-friendly features (MCP, Skills, llms.txt) make it especially forward-looking for the emerging AI agent ecosystem.
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Last verified: July 2026
How likely is HiAPI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →HiAPI is a unified AI API gateway that aggregates leading generative models for image, video, and audio from providers like OpenAI, Google, ByteDance, and Black Forest Labs into a single RESTful endpoint. Developers submit generation tasks with one API key, receive persistent artifact links, and avoid managing separate storage infrastructure. The platform is designed for production workloads, featuring availability-first routing, callbacks, and transparent per-model pricing. It integrates with AI agents via MCP, Skills, and llms.txt, making it easy for both traditional developers and agent-based workflows to compose multimodal generation pipelines. HiAPI is built for teams that need reliable, scalable access to top AI models without juggling multiple providers or complex billing—simply top up a wallet and pay per use. Unlike multi-provider SDKs, HiAPI provides a consistent post-tasks lifecycle and persistent storage, reducing infrastructure overhead for teams building media generation pipelines.
HiAPI's unified API is a real time-saver for developers who need to swap between GPT-Image, Flux, Seedance, Nano Banana, and others without rewriting integration code. The persistent artifact links eliminate the need to build your own storage layer—outputs are returned as durable URLs automatically. We'd reach for this when building a production app that must reliably generate images and videos without managing separate provider auth, billing, and storage. The model-specific pricing is transparent: each model lists per-task costs upfront (e.g., $0.02 for gpt-image-2-beta, $0.05 for flux-1.1-pro, up to $0.823 for Seedance 1080p video). No confusing token math. The agent-friendly MCP and llms.txt features are thoughtful: you can paste the prompt into Claude or Cursor and have the agent understand how to call HiAPI. Where it bites: HiAPI is not for non-developers. There's no UI for casual image generation beyond a basic playground. The wallet-based pricing requires a minimum $5 top-up with no free tier beyond a $1 trial credit. Compared to alternatives like Fal.ai, which offers serverless GPU and a broader model catalog, HiAPI's advantage is the persistent storage and agent hooks. For teams already building with MCP, this is compelling. The lack of audio models today (listed as 'on roadmap') means audio-only projects should look elsewhere. In practice, the persistent storage costs a small fraction per artifact—negligible for most use cases.
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