KuaishouKuaishou·🎬 Video Generation

Kling V3 Turbo Standard

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Quick reference
Kling V3 Turbo Standard — TLDR
  • 🎬 Image-to-video generation from Kuaishou's Kling family
  • ⚡ Turbo pipeline tuned for faster, efficient rendering
  • 🎨 Cinematic quality with strong human motion
  • 🎯 Standard tier — accessible alternative to the Pro variant
  • 🏢 Built by Kuaishou, maker of the Kwai short-video app
💰 Pricing
$0.370 – $1.85
per generation
📅 On Venice since
Jun 17, 2026
35 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 Turbo Standard animates a still image into video, the standard-tier entry in Kuaishou's speed-optimized Turbo branch of the Kling V3 generation. Released in June 2026, it pairs the Kling family's signature cinematic look — strong human motion, editorial framing, and coherent scene dynamics — with a Turbo pipeline designed to render faster than the full-quality lines, trading some headroom for quicker turnaround.

Within the lineup it sits a step below Kling V3 Turbo Pro, its higher-fidelity counterpart launched the same day, and complements the text-to-video Kling V3 Turbo Standard sibling. The broader catalogue spans the resolution-focused Kling V3 4K models and the earlier Kling V3 Standard, giving users a clear ladder from standard to pro and from speed to maximum quality.

It's best suited for animating existing artwork, photos, or product shots into short cinematic clips where quick iteration and reliable human motion matter more than absolute resolution — a practical default for editorial and creative workflows on a budget.

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 6d ago