Omniinfer (Novita AI) vs Runware

Call 200+ LLMs, image, video, audio and embedding models through one OpenAI-compatible endpoint, with per-token and per-generation billing.

Rent full-control GPU machines in seconds for training, fine-tuning or self-hosted inference, with isolated resources and predictable latency.

Submit GPU jobs without provisioning instances; resources allocate automatically, scale up under load and scale to zero when idle so you only pay for execution.

Secure, isolated runtimes where autonomous agents run code, use tools and call models cleanly.

Image, video, audio, LLM and 3D tasks all POST to a single endpoint as an array, so mixed-modality batches can travel in one request with shared auth and billing.

Browse hosted, partner and community models through one addressing scheme, control parameters such as stacked LoRAs and swapped VAEs on open models, and add your own uploads.

Bring your own container and weights to serverless GPUs billed by the second that scale to zero when idle, or commit to reserved capacity and bare-metal clusters for a lower per-hour rate.

Purpose-built modular data centers plus an orchestration layer that keeps weights preloaded across regions and routes requests to pods that already hold the model in memory.