Power ecommerce automation

Cut out — BiRefNet Matting; Upscale — P-Image Upscale; Edit — GPT Image 2; Vectorize — Recraft Vectorize. Each row above expands with the model's live pricing, capability chips, and sample outputs.

BiRefNet Matting runs on Runware's own optimized compute (the platform's open-weight tier, billed on compute time) — check each model page for weight availability and license terms before self-hosting. The remaining picks are partner-served.

The lowest listed starting price in this stack is BiRefNet Matting from $0.0006 per 1024x1024; prices are read live from the catalog and scale with resolution, duration, and quality tier. The Production notes below cover how pricing is measured.

Background removal is $0.0006 per image and vectorization $0.01, but a high-tier GPT Image 2 edit is $0.211. Keep the expensive editing stage out of the bulk path; most catalog assets only need the cheap utility stages.

BiRefNet outputs mattes, not composited images, and Recraft Vectorize targets flat artwork like logos and icons rather than photos. Plan the composition and routing logic in your pipeline around each model's single operation.

Every price on this page is the model's published rate from the live Runware catalog, using the cheapest listed configuration unless stated otherwise. Prices vary with resolution, duration, quality tier, or token volume, so check the pricing table on each model page before estimating unit economics.

The Runware catalog does not publish per-model latency figures, so this page does not quote end-to-end timings. Where a model's own description commits to speed (for example sub-second generation or realtime streaming), that claim is repeated here. For anything else, benchmark the exact models in the Playground with your own payload sizes before committing to an SLA.

Models are addressed by versioned AIR identifiers, so a workflow pinned to specific model versions keeps producing the same behaviour as new versions ship. Adopt upgrades deliberately by re-running your evaluation set against the new version before switching production traffic.

A blueprint bundles the small set of models you would actually wire together for one production use case, instead of ranking a whole category. Each pick covers one stage of the workflow and links to its model page for full schema, pricing, and examples.

Picks are live models from the Best Background Removal (11 models), Best Upscaling (7), Best Image Editing (21), and Best Vectorize (4) collections, selected for published per-image pricing suited to high-volume batch operations.