Kling v3.0 Text-to-Video
Kling v3.0 Text-to-Video is Kling's v3.0 text-to-video model with multi-shot narrative generation, physics-aware motion, native multilingual audio, and up to 15-second output from a single prompt.
import { experimental_generateVideo as generateVideo } from 'ai';
const result = await generateVideo({ model: 'klingai/kling-v3.0-t2v', prompt: 'A serene mountain lake at sunrise.'});Playground
Try out Kling v3.0 Text-to-Video by Kling AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Kling v3.0 Text-to-Video
Your generated video will appear here.
Providers
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
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About Kling v3.0 Text-to-Video
Kling v3.0 Text-to-Video introduces multi-shot generation as its signature feature. A single prompt can describe a multi-scene narrative. The model produces up to five coherent shots in one generation pass, each with its own visual composition and action. Total video duration runs up to 15 seconds across these shots, edited together as a continuous sequence. This eliminates the manual workflow of generating and stitching individual clips for multi-scene narratives.
The v3 generation tier improves visual quality in several areas. More realistic physics simulation governs object interactions, environmental elements, and secondary motion. Temporal consistency across frames is stronger. Native audio generation (multilingual speech in English, Chinese, Japanese, Korean, Spanish, and others, plus action sound effects and ambient audio) integrates into the same inference call.
For narrative-driven content production, advertising, and creative storytelling, v3.0 t2v reduces the number of sequential generation calls needed for a multi-scene video. Directing multiple shots from a single descriptive prompt also makes it well suited to AI-assisted storyboarding and pre-visualization workflows.
What To Consider When Choosing a Provider
- Configuration: Multi-shot generation in v3.0 bills total output duration as the sum of each shot duration. Plan cost per asset with that in mind.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Kling v3.0 Text-to-Video
Best for
- Multi-scene narrative video: Story sequences, ads with setup and payoff, or explainer progressions from a single prompt
- Quality-first text-to-video: Work where visual detail, motion quality, and audio matter more than turbo speed
- Multilingual narration: Content requiring multilingual voice or layered audio alongside generated visuals
- Creative pre-visualization: Storyboarding for film or advertisement production
Consider alternatives when
- Image-anchored subject: A reference image must anchor the subject appearance or visual style, so use v3.0 i2v
- Motion transfer required: A reference performance video defines the desired motion, so use motion control
- Cost and speed priority: Cost and speed matter more than maximum quality and multi-shot capability, so use v2.5 Turbo t2v
Conclusion
Kling v3.0 Text-to-Video is the v3.0 text-to-video model in the Kling family. It combines multi-shot narrative output, physics-aware motion, longer total duration, and native multilingual audio. Pick it when you need several scenes with sound from one narrative prompt.