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Kling 3.0 (Kuaishou) and Veo 3.1 (Google DeepMind) are two top-end AI video generators aimed at cinematic results, smooth motion, and native audio. Both support text-to-video and image-to-video, but they differ in workflow controls, output constraints, and how you pay per render.

Below is a practical comparison of their stated capabilities and pricing to help you choose the better fit for short cinematic clips, multi-shot sequences, or cost-sensitive iteration.

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Feature Comparison

FeatureKling 3.0Veo 3.1
ProviderKuaishouGoogle DeepMind
Subcategoriestext-to-video, image-to-videotext-to-video, image-to-video
First Frame / Last Frame SupportYesYes
Multi-shot SupportYesNo
1080p / 2k ModeYesYes
4k ModeYesYes
NSFW RatingLowStrict
Duration5, 8, 10, 12, 15Quality, Fast
Aspect Ratio16:9, 9:16, 1:14s, 6s, 8s
AudioOn, Off16:9, 9:16
Starting Price325 credits 80 credits
Full Details View Kling 3.0 View Veo 3.1

Kling 3.0 Strengths

  • Multi-shot / multi-prompt support for building sequences in a single generation
  • Fine-grained framing controls, including first & last frame control
  • Native audio generation option for paired sound and visuals
  • Cinematic visuals with fluid motion for short-form storytelling
  • Up to 15s duration for longer clips than many short-only generators

Veo 3.1 Strengths

  • Native 1080p output for higher-resolution delivery without upscaling
  • Native synchronized audio designed to match the video timing
  • Two speed/quality options (Quality and Fast) for balancing fidelity vs turnaround
  • Accurate lighting and cinematic motion optimized for realism
  • Simple per-video pricing model (80 credits per video) for predictable budgeting

Verdict

Choose Kling 3.0 if you value sequence-building features (multi-shot/multi-prompt) and explicit timeline-style controls like first/last frame, or if you need longer generations (up to 15 seconds). It’s positioned for creators who want more direct control over how a clip starts, ends, and transitions.

Choose Veo 3.1 if you prioritize native 1080p delivery, synchronized audio, and an easy-to-forecast cost per render—especially when you want the flexibility of a faster iteration mode versus a higher-fidelity mode.

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