Best AI Video Models for OpenClaw
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Compare the Top AI Video Models that integrate with OpenClaw as of August 2026
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This a list of AI Video Models that integrate with OpenClaw. Use the filters on the left to add additional filters for products that have integrations with OpenClaw. View the products that work with OpenClaw in the table below.
What are AI Video Models for OpenClaw?
AI video models are artificial intelligence models that generate, edit, analyze, or transform video content using machine learning and generative AI techniques. These models can create videos from text prompts, images, scripts, audio, or existing footage, while also supporting tasks such as video editing, animation, scene generation, object tracking, and visual effects creation. They leverage technologies such as diffusion models, transformers, computer vision, and multimodal AI to understand and generate realistic motion, environments, characters, and storytelling elements. Many AI video models are available through APIs, SDKs, and creative platforms that integrate with content creation, marketing, entertainment, and media production workflows. By automating complex video production tasks and enabling new creative possibilities, AI video models help organizations and creators produce high-quality video content faster and at lower cost. Compare and read user reviews of the best AI Video Models for OpenClaw currently available using the table below. This list is updated regularly.
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1
Gemini Omni
Google
Gemini Omni is a multimodal AI video generation and editing platform from Google designed to help users create cinematic-quality videos using text, image, and video inputs. The platform allows users to generate, edit, and enhance video content through natural language prompts without requiring advanced editing skills or expensive production equipment. Gemini Omni supports features such as cinematic zoom effects, background replacement, AI avatar creation, and template-based editing to simplify professional video production workflows. Users can upload footage directly from their devices and use conversational prompts to transform raw clips into polished visual content quickly and efficiently. The platform also enables users to create custom AI avatars that replicate their appearance and voice for more personalized video experiences. Built for creators and content producers, Gemini Omni helps users streamline video production while making high-quality AI-assisted editing more accessible. -
2
Gemini Omni Flash
Google
Gemini Omni is Google’s new model family where Gemini’s ability to reason meets the ability to create, starting with video. The first model in the family, Gemini Omni Flash, can create anything from any input by combining images, audio, video, and text as input, then generating high-quality videos grounded in Gemini’s real-world knowledge. It gives users an easier way to edit video through conversation, where every instruction builds on the last, characters stay consistent, physics hold up, and the scene remembers what came before. Users can transform specific details or entire worlds, reimagine action, add new characters or objects, change environments, adjust camera angles, refine styles, and build multi-turn edits without losing the thread of the original scene. Gemini Omni is designed to bridge photorealism and meaningful storytelling by reasoning about what should happen next, using an intuitive understanding of forces like gravity, kinetic energy, and fluid dynamics. -
3
Seedance 2.5
ByteDance
Seedance 2.5 is ByteDance Seed’s new-generation video creation model for long-form storytelling, multimodal reference-based generation, and precise video editing. The model can generate high-quality 30-second audio-video clips in a single pass and supports multi-round extensions for creating longer videos with consistent characters, environments, pacing, and audiovisual style. Seedance 2.5 accepts up to 30 images, 10 video clips, and 10 audio clips as references, giving creators more control over subjects, scenes, motion, camera work, and creative direction. It improves transitions, visual consistency, audio-video synchronization, object textures, skin and eye details, lighting, color, and cinematic realism. The model also supports timestamp-level editing, green screen editing, camera perspective editing, clay render referencing, motion referencing, and reference-based editing. -
4
Veo 3
Google
Veo 3 is Google’s latest state-of-the-art video generation model, designed to bring greater realism and creative control to filmmakers and storytellers. With the ability to generate videos in 4K resolution and enhanced with real-world physics and audio, Veo 3 allows creators to craft high-quality video content with unmatched precision. The model’s improved prompt adherence ensures more accurate and consistent responses to user instructions, making the video creation process more intuitive. It also introduces new features that give creators more control over characters, scenes, and transitions, enabling seamless integration of different elements to create dynamic, engaging videos. -
5
Veo 3.1
Google
Veo 3.1 builds on the capabilities of the previous model to enable longer and more versatile AI-generated videos. With this version, users can create multi-shot clips guided by multiple prompts, generate sequences from three reference images, and use frames in video workflows that transition between a start and end image, both with native, synchronized audio. The scene extension feature allows extension of a final second of a clip by up to a full minute of newly generated visuals and sound. Veo 3.1 supports editing of lighting and shadow parameters to improve realism and scene consistency, and offers advanced object removal that reconstructs backgrounds to remove unwanted items from generated footage. These enhancements make Veo 3.1 sharper in prompt-adherence, more cinematic in presentation, and broader in scale compared to shorter-clip models. Developers can access Veo 3.1 via the Gemini API or through the tool Flow, targeting professional video workflows. -
6
Sora
OpenAI
Sora is an AI model that can create realistic and imaginative scenes from text instructions. We’re teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction. Introducing Sora, our text-to-video model. Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt. Sora is able to generate complex scenes with multiple characters, specific types of motion, and accurate details of the subject and background. The model understands not only what the user has asked for in the prompt, but also how those things exist in the physical world. -
7
Qwen3-VL
Alibaba
Qwen3-VL is the newest vision-language model in the Qwen family (by Alibaba Cloud), designed to fuse powerful text understanding/generation with advanced visual and video comprehension into one unified multimodal model. It accepts inputs in mixed modalities, text, images, and video, and handles long, interleaved contexts natively (up to 256 K tokens, with extensibility beyond). Qwen3-VL delivers major advances in spatial reasoning, visual perception, and multimodal reasoning; the model architecture incorporates several innovations such as Interleaved-MRoPE (for robust spatio-temporal positional encoding), DeepStack (to leverage multi-level features from its Vision Transformer backbone for refined image-text alignment), and text–timestamp alignment (for precise reasoning over video content and temporal events). These upgrades enable Qwen3-VL to interpret complex scenes, follow dynamic video sequences, read and reason about visual layouts.Starting Price: Free -
8
Kling 3.0 Omni
Kling AI
Kling 3.0 Omni model is a generative video system designed to create imaginative videos from text prompts, images, or reference materials using advanced multimodal AI technology. It allows users to generate continuous video clips with flexible durations ranging from approximately 3 to 15 seconds, enabling short cinematic scenes that respond closely to prompt instructions. It supports prompt-based video generation as well as reference-based workflows, where users provide images or other visual elements to guide the subject, style, or composition of the generated scene. It improves prompt adherence and subject consistency, allowing characters, objects, and environments to remain stable throughout the generated clip while maintaining realistic motion and visual coherence. The Omni model also enhances reference-based generation so that characters or elements introduced through images remain recognizable across frames.Starting Price: Free -
9
Seedance
ByteDance
Seedance 1.0 API is officially live, giving creators and developers direct access to the world’s most advanced generative video model. Ranked #1 globally on the Artificial Analysis benchmark, Seedance delivers unmatched performance in both text-to-video and image-to-video generation. It supports multi-shot storytelling, allowing characters, styles, and scenes to remain consistent across transitions. Users can expect smooth motion, precise prompt adherence, and diverse stylistic rendering across photorealistic, cinematic, and creative outputs. The API provides a generous free trial with 2 million tokens and affordable pay-as-you-go pricing from just $1.8 per million tokens. With scalability and high concurrency support, Seedance enables studios, marketers, and enterprises to generate 5–10 second cinematic-quality videos in seconds. -
10
Kling O1
Kling AI
Kling O1 is a generative AI platform that transforms text, images, or videos into high-quality video content, combining video generation and video editing into a unified workflow. It supports multiple input modalities (text-to-video, image-to-video, and video editing) and offers a suite of models, including the latest “Video O1 / Kling O1”, that allow users to generate, remix, or edit clips using prompts in natural language. The new model enables tasks such as removing objects across an entire clip (without manual masking or frame-by-frame editing), restyling, and seamlessly integrating different media types (text, image, video) for flexible creative production. Kling AI emphasizes fluid motion, realistic lighting, cinematic quality visuals, and accurate prompt adherence, so actions, camera movement, and scene transitions follow user instructions closely. -
11
Seedance 1.5 pro
ByteDance
Seedance 1.5 Pro is a next-generation AI audio-video generation model developed by ByteDance’s Seed research team that produces native, synchronized video and sound in a single unified pass from text prompts and image or visual inputs, eliminating the traditional need to create visuals first and add audio later. It features joint audio-visual generation with highly accurate lip-sync and motion alignment, supporting multilingual audio and spatial sound effects that match the visuals for immersive storytelling and dialogue, and it maintains visual consistency and cinematic motion across multi-shot sequences including camera moves and narrative continuity. Able to generate short clips (typically 4–12 seconds) in up to 1080p quality with expressive motion, stable aesthetics, and optional first- and last-frame control, the model works for both text-to-video and image-to-video workflows so creators can animate static images or build full cinematic sequences with coherent narrative flow. -
12
Qwen3-Omni
Alibaba
Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches. -
13
Veo 3.1 Fast
Google
Veo 3.1 Fast is Google’s upgraded video-generation model, released in paid preview within the Gemini API alongside Veo 3.1. It enables developers to create cinematic, high-quality videos from text prompts or reference images at a much faster processing speed. The model introduces native audio generation with natural dialogue, ambient sound, and synchronized effects for lifelike storytelling. Veo 3.1 Fast also supports advanced controls such as “Ingredients to Video,” allowing up to three reference images, “Scene Extension” for longer sequences, and “First and Last Frame” transitions for seamless shot continuity. Built for efficiency and realism, it delivers improved image-to-video quality and character consistency across multiple scenes. With direct integration into Google AI Studio and Gemini Enterprise Agent Platform, Veo 3.1 Fast empowers developers to bring creative video concepts to life in record time.Starting Price: $0.15 per second -
14
Kling 2.6
Kuaishou Technology
Kling 2.6 is an advanced AI video generation model that produces fully immersive audio-visual content in a single pass. Unlike earlier AI video tools that generated silent visuals, Kling 2.6 creates synchronized visuals, natural voiceovers, sound effects, and ambient audio together. The model supports both text-to-audio-visual and image-to-audio-visual workflows for fast content creation. Kling 2.6 automatically aligns sound, rhythm, emotion, and camera movement to deliver a cohesive viewing experience. Native Audio allows creators to control voices, sound effects, and atmosphere without external editing. The platform is designed to be accessible for beginners while offering creative depth for advanced users. Kling 2.6 transforms AI video from basic visuals into fully realized, story-driven media. -
15
Kling 3.0
Kuaishou Technology
Kling 3.0 is an advanced AI video generation model built to produce cinematic-quality videos from text and image prompts. It delivers smoother motion, sharper visuals, and improved physical realism for more lifelike scenes. The model maintains strong character consistency, ensuring stable appearances and controlled facial expressions throughout a video. Enhanced prompt comprehension allows creators to design complex scenes with dynamic camera angles and fluid transitions. Kling 3.0 supports high-resolution outputs that meet professional content standards. Faster rendering speeds help teams reduce production timelines significantly. The platform enables high-quality video creation without relying on traditional filming or expensive production tools. -
16
Kling 2.5
Kuaishou Technology
Kling 2.5 is an AI video generation model designed to create high-quality visuals from text or image inputs. It focuses on producing detailed, cinematic video output with smooth motion and strong visual coherence. Kling 2.5 generates silent visuals, allowing creators to add voiceovers, sound effects, and music separately for full creative control. The model supports both text-to-video and image-to-video workflows for flexible content creation. Kling 2.5 excels at scene composition, camera movement, and visual storytelling. It enables creators to bring ideas to life quickly without complex editing tools. Kling 2.5 serves as a powerful foundation for visually rich AI-generated video content. -
17
Seedance 2.0
ByteDance
Seedance 2.0 is ByteDance’s advanced AI video generation platform built to turn creative inputs into cinematic-quality videos. It supports text prompts, images, audio, and video, blending them into polished visuals with smooth transitions and native sound. The platform uses sophisticated multimodal and motion synthesis to preserve visual consistency and character identity across multiple scenes. Users can combine up to twelve reference assets in a single project, enabling complex storytelling without manual editing. Seedance 2.0 automatically plans camera movement and pacing, giving creators director-level control with minimal effort. The system is capable of producing high-resolution video output, including 1080p and above. Its rapid popularity highlights its ability to generate engaging animated and narrative-driven content from simple inputs.
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