KuaishouKuaishou·🎬 Video Generation·↑ Newer: Kling 2.6 Pro

Kling V3 Pro

anonymized
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Quick reference
Kling V3 Pro — TLDR
  • 🎬 Cinematic text-to-video from Kuaishou's Kling family
  • 🎯 Pro tier — high quality for editorial scenes
  • 🏃 Strong human motion and lifelike movement
  • 🎨 Built for editorial and dramatic shots
  • 🌍 From Kuaishou, maker of the Kwai app
💰 Pricing
$0.370 – $2.77
per generation
📅 On Venice since
Feb 3, 2026
166 days ago
Provider

Kuaishou Technology is a Chinese publicly traded company founded in 2011 by Hua Su and Cheng Yixiao, headquartered in Beijing's Haidian District and listed on the Hong Kong Stock Exchange. Originally known for its massively popular short-video platform —…

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25 models on Venice
25 video
Since Dec 3, 2024

About this model

Kling V3 Pro is Kuaishou's pro-tier text-to-video generator, producing cinematic clips from written prompts with a particular strength in convincing human motion and editorial, dramatic scenes. Released in February 2026, it represents the V3 generation of the Pro text-to-video line, succeeding the earlier Kling 2.6 Pro and serving as the current incumbent for high-fidelity prompt-driven generation in that family.

It anchors a broad V3 lineup released alongside it, including the lighter-weight Kling V3 Standard for faster, lower-cost runs, an image-to-video counterpart in Kling V3 Pro, and the alternative Kling O3 Pro track. Kuaishou later extended the line with Kling V3 4K for higher resolution and the speed-optimized Kling V3 Turbo Pro.

Kuaishou, the Chinese company behind the Kwai short-video app, designed Kling around realistic motion and film-grade visual quality. Kling V3 Pro is best suited for creators who want polished, story-driven shots — human performance, editorial framing, and cinematic camera work — where output fidelity matters more than raw turnaround speed.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 4d ago