KuaishouKuaishou·🎬 Video Generation·New

Kling V3 Turbo Pro

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Quick reference
Kling V3 Turbo Pro — TLDR
  • 🎬 Text-to-video generation with cinematic output
  • 🎯 Kuaishou's Turbo Pro tier of the Kling V3 line
  • 🎨 Strong human motion and editorial scenes
  • ⚡ Turbo pipeline tuned for faster generation
  • 🏢 Built by Kuaishou, maker of the Kwai app
💰 Pricing
from $0.460
per generation
📅 On Venice since
Jun 17, 2026
1 day 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 Turbo Pro is the text-to-video member of Kuaishou's speed-optimized Turbo Pro tier within the Kling V3 generation, released in June 2026. It turns written prompts into cinematic clips, with particular strength in believable human motion and editorial-style scenes — the kind of polished, narrative shots that make Kling a favorite for storytelling and short-form content. As the current incumbent of the Turbo Pro text-to-video line, it succeeds Kling 2.5 Turbo Pro from September 2025, carrying the family's quality-versus-speed balance into the V3 era.

It sits alongside an image-driven counterpart, Kling V3 Turbo Pro image-to-video, and a lighter Kling V3 Turbo Standard tier for users who want lower-cost generation. The broader V3 lineup also includes higher-fidelity options like Kling V3 4K and the Kling O3 4K series, plus motion-control variants for precise scene direction.

Choose Kling V3 Turbo Pro when you want a strong blend of cinematic quality and faster turnaround from text prompts alone — ideal for character-driven shots, editorial visuals, and quick creative iteration where human movement needs to look natural.

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 12h ago