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Performance Models for Everyone

Starting price
$0.02per second
Website
pruna.ai

About Pruna

Pruna delivers production-ready performance AI models (P-Image and P-Image-Edit) via API, self-hosted deployments, or an open-source library. It targets developers and organizations building AI-powered applications and aims to deliver fast, cost-efficient, and sustainable inference at scale with flexible deployment options.

Pruna screenshot

Key Features

Pruna’s core functionality addresses the need for fast, scalable AI inference across environments, so teams can choose API access, on-premise deployment, or self-contained libraries depending on data residency and latency requirements:

API Access

Access production-ready performance models through simple APIs with no setup or fine-tuning; production-ready from the first call.

Self-Hosted Deployment

Deploy Pruna models in your infrastructure, enabling on-prem control and faster, localized inference.

Open-Source Library

Run Pruna in your own environment with a pre-packaged library designed for straightforward deployment.

Performance and Cost Efficiency

Inference is faster, cheaper per run, and greener compared with typical alternatives.

Summary

Best for product engineering teams, ML engineers integrating AI features, and operations teams optimizing deployment costs.

Plans and prices as listed on pruna.ai as of Sep 24, 2026.

P-Video

$0.02 / per second

  • image-to-video
  • 720p
  • inference time: 5.6s

P-Video-2-Pro

$0.02 / per second

  • text-to-video
  • 480p
  • inference time: 1.99s

P-Video-2

$0.025 / per second

  • text-to-video
  • 720p
  • inference time: 13.65s

P-Video-Avatar

$0.025 / per second

  • image-to-video
  • 720p
  • inference time: 1.83s

P-Video-Replace

$0.03 / per second

  • image-to-video
  • 720p
  • inference time: 3.58s

P-Video-Animate

$0.03 / per second

  • image-to-video
  • 720p
  • inference time: 5.24s

P-Video-Edit

$0.045 / per second

  • video-to-video
  • 720p
  • inference time: 23.18s

More in Image & Video

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