KuaishouKuaishou·🎬 Video Generation

Kling V3 Pro

anonymized
Try on Venice.ai ↗
Quick reference
Kling V3 Pro — TLDR
  • 🎬 Text-to-video model tuned for cinematic output
  • 🏢 Built by China's Kuaishou, makers of Kwai
  • 🎨 Excels at human motion and editorial scenes
  • 🎯 "Pro" tier of the Kling V3 generation
  • ⚡ Prompt-driven clip generation from text
💰 Pricing
$0.370 – $2.77
per generation
📅 On Venice since
Feb 3, 2026
122 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 —…

Read full profile →
21 models on Venice
21 video
Since Dec 3, 2024

About this model

Kling V3 Pro is Kuaishou's pro-tier text-to-video generator, released February 2026 as part of the company's broad Kling V3 rollout. It turns written prompts into short cinematic clips, with particular strength in realistic human motion and editorial, narrative-style scenes — the kind of polished, camera-aware footage that suits storytelling and commercial work. Kuaishou, the Beijing-based company behind the Kwai short-video app, has steadily pushed Kling as one of the leading video-generation families.

Within that lineup, this text-to-video build is the current incumbent of the "Kling V3 Pro" text line, succeeding the earlier Kling 2.6 Pro and sharing its launch with an image-to-video counterpart, Kling V3 Pro. It sits between the lighter Kling V3 Standard and the higher-resolution Kling V3 4K, while Kuaishou's parallel O3 series and later motion-control releases extend the family further.

Choose Kling V3 Pro when you want quality-focused, prompt-only video — particularly shots featuring people in motion or editorial settings — without needing a reference image or 4K output.

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 3d ago