kling/kling-v3-turbo-t2v

Attributes

• Provider: kling
• Category: Text to Video

Series

• Kling V3

Collections

• AI Video Generator

Parameters

Pricing

Unit: $/sec

Related Models

• kling/kling-v3-t2i: [Core Function] Kling V3 T2I is the flagship text-to-image model (POST /images/generations, model_name=kling-v3). [Strengths] High aesthetic quality, prompt adherence, 1K/2K. [Best For] Concept art and photorealistic generation without a reference image. [Limitations] No reference image; for I2I use kling-v3-i2i; for multi-image/series use kling-v3-omni-image. [Routing] Default for Kling text-to-image.
• kling/kling-v3-t2v: [Core Function] Kling V3 T2V is the next-generation text-to-video base model. [Strengths] It natively supports generating ultra-long 15-second videos, 4K resolution, and synchronized native audio directly from text. [Best For] Highly recommended for: high-end cinematic creation, 4K video generation, and creating long-form scenes with integrated sound. [Limitations] Do NOT use this model if you need complex multi-shot narratives or deep physics reasoning; use V3 Omni or Video O1 respectively. [Routing] Use this model by default for high-quality text-to-video tasks that require up to 15 seconds, 4K resolution, or native audio without reference images.
• kling/kling-v3-i2i: [Core Function] Kling V3 I2I is the flagship image-to-image editing model (POST /images/generations, model_name=kling-v3 with image). [Strengths] High-quality style transfer and editing up to 2K. [Best For] Single-reference image editing. [Limitations] Do NOT send negative_prompt when image is present (officially unsupported). No image_fidelity / image_reference on V3. For multi-image fusion or series, use kling-v3-omni-image. [Routing] Default for standard image-to-image.
• kling/kling-v3-omni-image: [Core Function] Kling V3 Omni Image is a unified multimodal image generation endpoint (POST /images/omni-image). [Strengths] Multi-image reference, up to 4K, and optional series generation via result_type/series_amount. Use <<<image_N>>> placeholders in prompt. [Best For] Character consistency, fusing multiple reference images, and comic/storyboard series. [Limitations] Element library IDs are not exposed. Default aspect_ratio is 1:1 when omitted. [Routing] Prefer for multi-image fusion or series; use kling-v3-t2i/i2i for standard single-shot generation.
• kling/kling-v3-i2v: [Core Function] Kling V3 I2V is the next-generation image-to-video model. [Strengths] It transforms static images into video with support for 4K resolution, 15-second durations, and native audio, providing superior motion and character expressiveness. [Best For] Highly recommended for: animating concept art, bringing portraits to life in 4K, and generating long 15s scenes from a single frame. [Limitations] Do NOT use this model if you need multimodal reference elements (like character consistency across shots) or multi-shot generation; use V3 Omni instead. [Routing] Use this model by default for high-quality single-image-to-video tasks.
• kling/kling-v3-omni-video: [Core Function] Kling V3 Omni Video V2V is a multimodal video-to-video endpoint that edits or restyles existing footage using prompt plus optional image and video references. [Strengths] It focuses on source fidelity and subject consistency for Omni-style edit workflows, combining prompt guidance with images and videos inputs so changes stay grounded in the original clip. [Best For] Highly recommended for: reference-faithful video edits, restyling existing takes, keeping characters or products consistent while changing motion or scene instructions, and short-form post workflows that start from real footage. [Limitations] Do NOT use this model for pure text-to-video from scratch; use Kling V3 T2V, Kling V3 Omni T2V, or Kling V3 Turbo T2V. Do NOT use it when you only have a still image and no source video; use Kling V3 I2V or Kling V3 Omni I2V. Do NOT use it for deep physics-reasoning generation better served by Kling Video O1. [Routing] Choose Kling V3 Omni Video V2V when the user already has video to edit or transform and mentions Omni or multimodal references. Prefer Kling Video O1 when reasoning-heavy generation is the goal rather than source-based editing.
• kling/kling-v3-omni-t2v: [Core Function] Kling V3 Omni T2V is a multimodal-leaning text-to-video model in the V3 family, oriented toward stronger semantic control and subject consistency in prompt-led generation. [Strengths] It targets high-fidelity cinematic clips with native audio options, flexible 3-15s duration, and better adherence when scenes demand coherent characters or multi-beat storytelling from text alone. [Best For] Highly recommended for: narrative T2V with recurring subjects, dialogue-aware scenes, brand or product continuity across beats, and premium short films where consistency matters more than raw throughput. [Limitations] Do NOT use this model if the user only needs the cheapest or fastest clip; prefer Kling V3 Turbo T2V. Do NOT use it when the workflow is image-first or needs multi-image references; use Kling V3 Omni I2V or Kling V3 I2V instead. Do NOT use it for deep physics-reasoning specialty tasks better served by Kling Video O1. [Routing] Choose Kling V3 Omni T2V when the user emphasizes Omni, consistency, multimodal quality, or complex text narratives. Prefer Kling V3 T2V as the default high-quality T2V baseline; prefer Kling V3 Turbo T2V when the user stresses speed, cost, or high-volume short-form output.
• kling/kling-v3-omni-i2v: [Core Function] Kling V3 Omni I2V is a multimodal image-to-video model that animates from one or more reference images with stronger subject and style consistency. [Strengths] It accepts an images array for reference-led motion, aiming to preserve identity, wardrobe, and product look across the clip while supporting flexible duration and optional native audio. [Best For] Highly recommended for: character-consistent animation from design sheets, multi-reference product shots, comic or IP look locking, and I2V tasks where a single first frame is not enough. [Limitations] Do NOT use this model for simple one-image animation when cost or speed is the priority; use Kling V3 I2V or Kling V3 Turbo I2V. Do NOT use it when the primary input is text only; use Kling V3 Omni T2V or Kling V3 T2V. Do NOT use it for lip-sync avatar from audio alone; use Kling Avatar. [Routing] Choose Kling V3 Omni I2V when the user asks for Omni, multiple references, or strict visual consistency from images. Prefer Kling V3 I2V for standard single-image high quality; prefer Kling V3 Turbo I2V for fast or cheap single-image jobs.
• kling/kling-v3-turbo-i2v: [Core Function] Kling V3 Turbo I2V is a speed- and cost-optimized image-to-video model that animates a single keyframe into short motion clips. [Strengths] It prioritizes fast turnaround and efficient generation with optional native audio and strong lip-sync for portrait or product first-frame animation at practical resolutions. [Best For] Highly recommended for: animating stills for social ads, rapid keyframe iteration, talking-head starters from one photo, and bulk I2V jobs where latency and cost dominate. [Limitations] Do NOT use this model if the user needs multi-image references, element fusion, or Omni-class subject locking; use Kling V3 Omni I2V. Do NOT use it when maximum 4K cinematic quality is required; use Kling V3 I2V. Do NOT use it for effect templates; use Kling Video Effects. [Routing] Choose Kling V3 Turbo I2V when the user emphasizes speed or cost for single-image animation. Prefer Kling V3 I2V as the default high-quality I2V; prefer Kling V3 Omni I2V when multiple images or consistency-driven references are central.
• alibaba/happyhorse-1.1-t2v: [Core Function] HappyHorse 1.1 T2V is Alibaba’s latest streamlined text-to-video model. [Strengths] It generates 720P/1080P video with native audio support, 3-15 second duration, and an expanded set of aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: fast HappyHorse text-to-video generation, social video formats, and high-throughput content creation. [Limitations] It does not expose custom audio controls; use Wan 2.7 T2V when custom audio input is required. [Routing] Prefer this model when the user explicitly requests HappyHorse text-to-video or wants the latest HappyHorse generation quality.
• alibaba/wan2.7-t2v: [Core Function] Wan 2.7 T2V is Alibaba’s flagship text-to-video generation model. [Strengths] It generates high-fidelity video directly from text with support for custom aspect ratios, audio generation, and intricate semantic adherence. [Best For] Highly recommended for: high-quality commercial video generation, professional storytelling, and dynamic cinematic sequences. [Limitations] Do NOT use this model if the user specifically requests the streamlined ‘HappyHorse’ workflow. [Routing] Use this model by default for high-end text-to-video requests on the Alibaba platform.
• bytedance/seedance-2.0-t2v: [Core Function] Seedance 2.0 T2V is ByteDance Dreamina Seedance 2.0 text-to-video. [Strengths] Supports 480p/720p/1080p/4k, 24 fps, 4-15s MP4 output. Text-only input — do not pass images, video, or audio. [Routing] Use for high-fidelity text-to-video when quality or 4k output is requested.
• xai/grok-imagine-video: [Core Function] Grok Imagine Video is xAI’s text-to-video generation model. [Strengths] It excels at generating short, dynamic video clips directly from a text prompt, with controllable duration, aspect ratio, and resolution. [Best For] Highly recommended for: short social clips, animated concepts, and dynamic scene generation from a description. [Limitations] Do NOT use this model when you have a starting image or reference subjects, or when you need resolutions above 720p or clips longer than 15 seconds; it is limited to 480p/720p and 15s. [Routing] Use this model when the user wants a video from text only. If a starting image is provided, route to the Image-to-Video model; for reference-driven character video, use Reference-to-Video.
• xai/grok-imagine-video-1.5-i2v: [Core Function] Grok Imagine Video 1.5 I2V animates a single starting image into a video using the Grok Imagine 1.5 generation backbone. [Strengths] It excels at producing motion from one starting frame with the improved 1.5 model. [Best For] Highly recommended for: animating a photo or illustration when the 1.5 generation backbone is preferred. [Limitations] Do NOT use this model for text-only generation, for resolutions above 1080p, or for clips longer than 15 seconds; it requires a starting image and is limited to 480p/720p/1080p and 15s. [Routing] Use this model when the user provides one starting image and prefers the 1.5 backbone.
• bytedance/seedance-2.0-i2v: [Core Function] Seedance 2.0 I2V is ByteDance’s flagship unified multimodal video generation model. [Strengths] It supports complex mixed references (multiple images, audio clips) and generates up to 15s of multi-shot audio-video output with dual-channel audio. [Best For] Highly recommended for: high-end complex video generation, multi-shot narratives, and mixed-reference cinematic production. [Limitations] Do NOT use this model if you only need a very basic legacy generation without complex references. [Routing] Use this model by default for any complex, multi-reference, or high-fidelity image-to-video tasks.
• alibaba/happyhorse-1.1-i2v: [Core Function] HappyHorse 1.1 I2V is Alibaba’s latest streamlined first-frame image-to-video model. [Strengths] It turns a single image into high-quality 720P/1080P video with native audio support and 3-15 second duration; output aspect ratio follows the first frame image. [Best For] Highly recommended for: rapid image animation, product motion previews, and simple character or scene animation. [Limitations] It does not accept an explicit ratio parameter; use T2V or R2V when you need a fixed generated aspect ratio. [Routing] Prefer this model when the user provides one image and requests HappyHorse image animation.
• alibaba/happyhorse-1.1-r2v: [Core Function] HappyHorse 1.1 R2V is Alibaba’s latest reference-image-to-video model. [Strengths] It uses 1-9 reference images to preserve subject or character appearance while generating new video actions, supports 720P/1080P output, 3-15 second duration, and expanded aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: character-consistent storytelling, reference-based product shots, and multi-image subject composition. [Limitations] Do NOT use if the user simply wants to animate a single image exactly as provided; use HappyHorse I2V instead. [Routing] Use when the user provides one or more reference images and asks for a newly generated HappyHorse video.
• alibaba/wan2.7-i2v: [Core Function] Wan 2.7 I2V is Alibaba’s flagship multimodal image-to-video model. [Strengths] It supports multimodal input (text, image, audio, video) for first-frame, start-and-end-frame (FL2V), and video continuation tasks. [Best For] Highly recommended for: complex image animation, cinematic transitions, and video extension workflows. [Limitations] Do NOT use this model if you only need a quick, simple animation where HappyHorse might be faster. [Routing] Use this model by default for complex image-to-video or video continuation tasks.
• alibaba/wan2.7-r2v: [Core Function] Wan 2.7 Reference-to-Video is a highly capable character/entity reference video model. [Strengths] It natively supports entity reference, voice customization, and playbook-based video generation from a single storyboard. [Best For] Highly recommended for: creating consistent video series, brand mascot animation, and storyboard-driven storytelling. [Limitations] Do NOT use this model for simple, single-image direct animation (use I2V instead). [Routing] Use this by default for complex character consistency and storyboard generation tasks on Alibaba.
• alibaba/wan2.7-videoedit: [Core Function] Wan 2.7 Video Editing is an instruction-based video modification model. [Strengths] It supports complex video editing tasks like content replacement using reference images, and replicating actions, effects, and camera movements. [Best For] Highly recommended for: modifying existing video footage, style transfer on videos, and targeted element replacement. [Limitations] Do NOT use this model to generate a brand new video from scratch; it requires an input video. [Routing] Use this model by default whenever a user wants to edit, alter, or restyle an existing video.
• bytedance/seedance-2.0-v2v: [Core Function] Seedance 2.0 V2V is ByteDance’s flagship multimodal video-to-video model. [Strengths] It allows powerful editing and stylization of input videos by supporting mixed references (text, images, video, and audio) and producing multi-shot 15s outputs. [Best For] Highly recommended for: complex video-to-video transformations, restyling existing footage, and creating dynamic multi-shot edits. [Limitations] Do NOT use this model for simple still-image generation (use Seedream instead). [Routing] Use this model by default for any video editing or video-to-video generation tasks.
• xai/grok-imagine-video-edit: [Core Function] Grok Imagine Video Edit applies a prompt-guided transformation to an input video. [Strengths] It excels at restyling and modifying an existing video while keeping its original duration and aspect ratio. [Best For] Highly recommended for: restyling clips, applying visual effects, and prompt-driven video edits. [Limitations] Do NOT use this model to change the duration, aspect ratio, or resolution; the output preserves the input video’s duration and aspect ratio, and those parameters are not configurable. Input video constraints (e.g. format/length) are enforced by the upstream provider. [Routing] Use this model when the user provides a video and wants it edited/restyled. To make a video longer, use Video Extend.
• xai/grok-imagine-video-extend: [Core Function] Grok Imagine Video Extend continues an existing video, generating additional footage beyond its end. [Strengths] It excels at seamlessly extending a clip with new prompt-guided motion. [Best For] Highly recommended for: lengthening short clips, continuing a scene, and adding follow-on action. [Limitations] Do NOT use the duration parameter expecting it to set the total video length; it only controls the length of the appended segment (2-10 seconds). Input video constraints are enforced by the upstream provider. [Routing] Use this model when the user wants to make a video longer. To restyle or modify an existing video, use Video Edit.
• google/gemini-omni-flash-t2v: [Core Function] Gemini Omni Flash T2V is Google’s fast multimodal Text-to-Video generation model built on the Interactions API. [Strengths] It quickly turns a text prompt into a short 720p video with natively synchronized audio, offering low latency and solid prompt adherence. [Best For] Highly recommended for: rapid text-to-video prototyping, short social and marketing clips, quick concept visualization, and cases where speed and built-in audio matter more than 4K cinematic detail. [Limitations] Do NOT use this model if you need 1080p or 4K resolution or clips longer than 10 seconds; output is fixed at 720p, capped at 10 seconds, with aspect ratio limited to 16:9 or 9:16. [Routing] Choose this model when the user emphasizes ‘fast’, ‘quick’, or short multimodal clips with sound. If the user demands maximum cinematic quality, 4K, or longer videos, choose Veo 3.1 T2V instead.
• google/gemini-omni-flash-i2v: [Core Function] Gemini Omni Flash I2V is a fast Image-to-Video model that animates a single input image into a short 720p video via the Interactions API. [Strengths] It uses the provided image as the opening frame and generates smooth motion with natively synchronized audio at low latency. [Best For] Highly recommended for: bringing a still photo to life, quick product or portrait animation, and short social clips derived from a single image. [Limitations] Do NOT use this model if you need 1080p or 4K output, clips longer than 10 seconds, or the fusion of multiple reference images; it takes exactly one image and outputs 720p up to 10 seconds (16:9 or 9:16). Do NOT use it to edit an existing video. [Routing] Choose this when the user provides one image to animate. To fuse multiple reference images use Gemini Omni Flash R2V; to edit an existing video use Gemini Omni Flash Video Edit; for 4K cinematic results use Veo 3.1 I2V.
• google/gemini-omni-flash-r2v: [Core Function] Gemini Omni Flash R2V (Reference-to-Video) generates a short 720p video guided by up to three reference images via the Interactions API. [Strengths] It fuses the styles, subjects, or elements from multiple reference images (referred to in the text prompt) into a single coherent animated clip with synchronized audio. [Best For] Highly recommended for: blending characters or visual styles from several images, reference-guided creative shots, and multi-subject compositions where the prompt directs how the references combine. [Limitations] Do NOT use this model if you only have a single starting frame (use I2V instead), or if you need 1080p or 4K or clips longer than 10 seconds; it accepts 1 to 3 reference images and outputs 720p up to 10 seconds (16:9 or 9:16). [Routing] Choose this when the user supplies multiple reference images to combine into one video. For single first-frame animation use Gemini Omni Flash I2V; to modify an existing video use Gemini Omni Flash Video Edit.
• google/gemini-omni-flash-video-edit: [Core Function] Gemini Omni Flash Video Edit performs conversational, instruction-driven editing of an existing video via the Interactions API. [Strengths] It applies natural-language edits (changing the scene, mood, style, lighting, background, or time of day) to an input video while preserving the source video’s length and aspect ratio, with synchronized audio. [Best For] Highly recommended for: re-styling or re-lighting an existing clip, changing a video’s setting or atmosphere, and quick instruction-based revisions of a short video. [Limitations] Do NOT use this model to generate a video from scratch (use T2V, I2V, or R2V), and do NOT expect to change the output resolution, aspect ratio, or duration: the output preserves the source video’s aspect ratio and length, and the model does not accept aspectRatio or duration parameters. The source video should be 3 to 10 seconds. [Routing] Choose this only when the user provides an existing video to modify. To create a new video from text or images, use Gemini Omni Flash T2V, I2V, or R2V instead.