AI Video Generation Models: What to Use & When

Last Updated: August 10, 2026

Update: Sora 2 and Sora 2 Pro were removed from Leonardo.Ai in July 2026 following a provider-side change by OpenAI — Veo 3.1 and Veo 3.1 Fast are the recommended replacements. Since this guide was first written, we’ve also added a wave of new models, including Seedance 2.5, FLUX 3 Video, MiniMax H3, Kling 3.0 Turbo, and Wan 2.6 and 2.7.

For many creators, having so many options for AI video generation can lead to a bit of decision paralysis. When you are looking at a list that includes Sora, Veo, and Kling, it is natural to wonder which one is actually suited for your specific shot. Will this model understand the complex physics I need? Will that one handle a close-up of a face correctly? Does this one generate sound?

The good news is that you don’t need to find a single perfect model that does it all. In fact, most expert creators rarely stay in one model for an entire project. It is becoming increasingly common to combine models to get the best results.

We have put together this guide to help you explore the top AI video generation models and understand exactly where each one shines. Almost every model listed here is available on Leonardo.Ai (we’ve kept the Sora 2 section for reference), giving you the freedom to switch between them instantly and match your creative intent with the engine that best supports it.

Leonardo’s AI Video Models at a Glance

To find the right model for your task, use this table as a quick decision matrix to identify the core strengths and creative applications for each major video model:

While these models are powerful on their own, accessing them through Leonardo.Ai gives you the unique advantage of switching between them instantly, using the same images and prompts.

AI Video Model Deep Dives

Now that we have looked at the big picture, let’s dive into the specific capabilities of the major models available on Leonardo.Ai. We’ll explore their unique strengths, uncover their blindspots, and share expert tips to help you get the most out of every generation.

Sora 2

Overview

Developed by OpenAI, Sora 2 focuses on narrative consistency and authenticity. One of its distinguishing features is the integration of native audio generation. It comes in two distinct flavors:

• Sora 2: Optimized for speed and rapid iteration, making it perfect for testing concepts or generating social-first content where authenticity matters more than technical specs like resolution.
• Sora 2 Pro: A slower, more powerful engine engineered for production-grade output. It delivers higher resolutions (up to 1080p), richer textures, and better temporal stability for complex professional shots.

Both variants support a Start Frame workflow, allowing you to upload a reference image to anchor your scene’s look before setting it in motion.

Best For

Social media videos and narrative storytelling are this model’s undisputed strengths. Its training seems specifically tuned for the viral, authentic aesthetic that dominates platforms like TikTok and Instagram – so much so that OpenAI launched its own standalone social app for it.

Because it also generates native, synchronized audio, it’s also the go-to choice for “slice-of-life” clips that need to feel real.

Blindspots

Sora 2 has a limitation in Image-to-Video (I2V) workflows: it can struggle with photorealistic human faces, often blocking or distorting them when animating from a static image. Additionally, users have noted it has a tendency toward moody, filmic lighting, which can make it difficult to achieve the bright, high-key look often required for commercial advertising.

Expert Tips

To maximize consistency across a longer scene, use timeline prompting in your text prompt. By explicitly telling the model what happens at specific intervals (e.g., “at 00:02 the character turns left”), you can guide the narrative flow and the dialogue with greater precision. Also, due to the I2V face limitation, this model often performs best when generating characters from scratch (Text-to-Video) rather than animating a specific person from an image.

Veo 3.1

Overview

Developed by Google DeepMind, Veo 3.1 supports native audio and focuses on visual fidelity, high resolution, and strict prompt adherence. It is available in two main modes:

• Veo 3.1 Fast: The cheaper and faster alternative. It is engineered for rapid prototyping, allowing you to generate quick, lower-fidelity drafts to test concepts before committing resources to a final render.
• Veo 3.1: The flagship engine for polished, client-ready output. It generates crisp 1080p video with rich, synchronized audio, focusing on clean visuals that hold up on larger screens.

Both versions support Start and End Frame workflows, giving you control over exactly how a shot begins and ends.

Best For

Commercial advertising and product showcases are Veo’s strengths. Its clean and sharp aesthetic makes it the ideal choice for corporate videos or ads where specific objects, like a perfume bottle or a car, need to look flawless and consistent.

Because it adheres so strictly to prompts, it is also excellent for storyboard-style content where you need the video to match a specific script or vision without unexpected hallucinations.

Blindspots

While powerful, the End Frame feature can be a trap. If your Start and End frames are visually distinct (e.g., a sunny day transitioning to a stormy night), the model often struggles to bridge the gap smoothly, resulting in morphing artifacts.

Additionally, its polished nature means it can sometimes struggle to produce gritty or raw textures, making it less ideal for lo-fi or documentary-style aesthetics compared to Sora 2 (see examples in our Veo 3 vs. Sora 2 blog).

Expert Tips

For the most reliable results, stick to using a Start Frame only. Letting the model predict the ending often yields smoother, more natural motion. To make the best of Veo, make sure to read our expert prompting tips in our Veo 3 prompting guide.

Kling 3.0

Overview

Developed by Kuaishou, Kling 3.0 focuses on cinematic narrative control and director-level precision. Compared to its previous version, it extends generation duration up to 15 seconds and introduces a multi-shot feature, allowing creators to split a single generation into multiple distinct camera cuts with consistent characters.

Best For

Thanks to its ability to maintain visual memory between multi-shot sequences, Kling 3.0 allows creators to build longer cinematic sequences (up to 15 seconds). Additionally, the integration of native audio across multiple languages allows localization teams to generate targeted advertisements for different geographic markets.

Blindspots

Kling 3.0 has a strong inherent tendency toward photorealism. Even if you explicitly prompt for an “animation style,” it may still default to a photorealistic output unless you anchor the generation with a reference image or a Start Frame. Additionally, generation times are currently very slow, particularly during peak hours. Because it is a highly complex model under heavy user load, generating a full 15-second video can sometimes take over 10 minutes.

Expert Tips

To get the best of Kling 3.0’s multi-shot capabilities, use bracketed tags, such as “[cut] Shot 1”, to force the director logic to switch camera perspectives while maintaining the established global context. When attempting to lock the camera, traditional negative prompts (“The camera doesn’t move”) frequently fail. Instead, phrase constraints positively within the main prompt, using phrasing like “The camera remains completely stationary.” Also, if you are aiming for a specific AI art style and the model keeps reverting to photorealism, always anchor your generation with a stylistic reference image to override its natural visual bias.

Kling Omni (O1, O3)

Overview

Unlike traditional models that can only generate videos, the Kling Omni models (O1 and O3) can both create and edit a video. They can track characters, props, and settings across multiple shots, ensuring they look identical whether you are generating a new scene or editing an existing one. They unify text-to-video, inpainting, and style transfer into a single pipeline, allowing you to modify footage with simple natural-language commands (e.g., “change the weather to snowy” or “remove the car”) without complex masking tools.

Note: Video editing is currently limited to generated content on the Leonardo app. Support for uploaded videos is coming soon!

Best For

Video editing and professional consistency are the strengths of the Kling Omni suite. If you have a clip that is almost perfect but needs a specific element changed (like swapping a character’s outfit or removing a distraction), Kling O1 or O3 is your go-to model.

It is also useful for long-form narratives where character identity is important. Because it accepts multiple reference images, you can feed it multiple angles of your protagonist to ensure they remain recognizable across different scenes, making it a powerful tool for storyboarding and indie filmmaking.

Blindspots

While it excels at consistency, the Kling Omni models can sometimes trade off absolute photorealism for stability. In side-by-side comparisons with models like Sora or Veo, users have noted that its textures can occasionally look slightly less realistic, especially in longer clips. Additionally, due to its computational complexity and high user demand, Kling O3 often experiences noticeably slower generation times.

Expert Tips

When aiming for character consistency, always use the multimodal input feature. Don’t rely on text descriptions alone; uploading 3-5 reference images of your subject from different angles will give the model the data it needs to keep your character consistent throughout your project.

Kling 2.x (2.1, 2.5, 2.6)

Overview

While the newer Kling 3.0 and Omni models introduce advanced directing logic and extended duration, the 2.x series remains a powerful and cost-effective workhorse, best known as the platform’s action specialist (check out our Kling prompting guide to learn how to get the best results for cinematic motion).

On Leonardo.Ai, you now have access to a versatile suite of variants:

• Kling 2.5 Turbo Standard: Optimized for rapid generation, allowing you to test complex motion prompts quickly without burning through resources.
• Kling 2.5 Turbo: Focuses on smoother, stable motion with high prompt adherence for final visual outputs.
• Kling 2.1 Pro: The only Kling model in the 2.x family supporting Start and End Frames, enabling it to bridge two distinct images with coherent animation.
• Kling 2.6: The only Kling model in the 2.x family supporting native audio. It produces 1080p videos (5-10 seconds) with synchronized dialogue, sound effects, and background music in a single pass.

Seedance 1.0

Overview

Developed by ByteDance’s Seed team (the group behind TikTok and CapCut), Seedance 1.0 is a video model designed with a focus on how films are structured, specifically cinematography and editing. It also draws on the viral patterns of TikTok videos, having been trained on billions of short videos to understand the specific lighting and rhythms that work well for the scroll experience.

On Leonardo.Ai, you’ll find three versions depending on your needs:

• Seedance 1.0 Pro: The flagship version for high-quality production, delivering stable 1080p clips.
• Seedance 1.0 Pro Fast: The most budget-friendly option, optimized for quick testing or mobile-first resolutions.
• Seedance 1.0 Lite: A middle-ground engine that is faster than Pro and offers the best balance between cost, quality, and speed.

Best For

Seedance 1.0 is a great choice for multi-shot storytelling. While many models focus on a single continuous shot, Seedance can interpret prompts describing a sequence of cuts (like an establishing shot that cuts to a close-up), while keeping characters and environments consistent. It is also natively optimized for short-form layouts, supporting the vertical (9:16) aspect ratios needed for TikTok, Reels, and Shorts.

Blindspots

A key detail to remember is that the 1.0 version is silent by default and does not generate synchronized audio. Additionally, because it prioritizes narrative flow and camera movement, it can struggle with complex physics. It also has a bias toward a polished, high-energy aesthetic, which may not fit if you’re aiming for a more subdued or gritty indie-film look.

Expert Tips

If you want to use the multi-shot feature, start your prompt with “Multiple shots” and include phrases like “Camera cut to” to trigger a transition. For efficiency, the Lite model at 720p is a great choice, as it lets you test different ideas before committing your credits to a final high-res render in the Pro model.

Hailuo 2.3

Overview

Developed by Minimax, Hailuo 2.3 can handle complex, continuous movement that would break other models. It features a solid physics engine that maintains structural integrity during high-dynamic sequences.

Best For

Dynamic action and choreography are where this model shines. It is an excellent choice for dance videos, martial arts sequences, and complex character animation where the subject needs to move aggressively without distorting.

It is also highly efficient for creating stylized content (like anime or 3D game cinematics) because it naturally leans into a vibrant, animated aesthetic that feels cohesive rather than glitchy.

Blindspots

The model’s biggest strength is also its main weakness: it has a strong “3D bias.” Without specific guidance, Hailuo 2.3 tends to output video that looks like a high-quality 3D render rather than a photorealistic camera recording. Additionally, unlike Sora or Veo, it does not generate native audio, so you will need to source your sound design separately.

Expert Tips

To get a photorealistic result and avoid the “video game” look, always use a Start Frame. Anchoring the generation with a realistic photo forces the model to respect the lighting and texture of the real world while applying its superior motion physics to the subject.

LTX-2

Overview

Developed by Lightricks, LTX-2 is designed for users who prioritize resolution and cinematic scale. LTX-2 can generate videos with native 4K resolution and high frame rate capability, giving the footage a distinct, film-like clarity. It is available on Leonardo.Ai in two tiers: Fast for rapid drafting and Pro for high-fidelity production.

Best For

This model excels at cinematic establishing shots, nature documentaries, and slow-paced atmospheric sequences. Its stability makes it the ideal choice for long takes where you need the environment to remain coherent over time, rather than morphing or shifting as the camera moves. If you are creating content for professional broadcasting or large displays where pixel crispness is non-negotiable, LTX-2 is a good choice.

Blindspots

While it dominates in resolution, LTX-2 is less suited for fast-paced action. Scenes with rapid movements or complex physical dynamics (like sports or intense choreography) can cause the model to struggle or produce artifacts.

Expert Tips

To get the most cinematic results, keep your camera instructions simple and slow. A prompt like “slow pan across a mountain range” plays to the model’s strengths, allowing it to render every 4K detail perfectly. Avoid “whiplash” camera moves or chaotic scene descriptions, as these can break the immersion and stability that LTX-2 is known for.

Motion 2.0

Overview

Motion 2.0 specializes in speed and controllability for short-form content. It is designed to take a static image and add controlled movement, like a camera pan or zoom, in seconds, making it a great model for rapid ideation and social media teasers.

Best For

Social media teasers and rapid concept testing are where Motion 2.0 shines. If you need to quickly turn a static image into a 5-second looping video for Instagram or TikTok, or if you want to test different camera angles (like a zoom vs. a pan) on a storyboard frame, this model delivers results faster than others.

Blindspots

Motion 2.0 is capped at short durations (typically around 5 seconds) and lacks the complex physics understanding of models like Hailuo. It is not suited for narrative storytelling or complex character actions, as it lacks the world knowledge specific to narrative-first models.

Expert Tips

While Motion 2.0 offers granular control sliders (Motion Strength, Pan, Tilt, Zoom), cranking them all up often results in chaotic, unnatural footage. Use fewer motion controls to achieve a subtle, handheld camera feel. Also, always pair Motion 2.0 with Start Frame for the best results.

Let Your Project Guide Your Choice

The landscape of AI video isn’t dominated by one superior model, but rather populated by specialized models, each designed for a different purpose. Use this guide to navigate these options with confidence and always let your project guide your model choice.

By accessing these tools through Leonardo.Ai, you have the flexibility to use multiple engines for a single project. You might choose Veo 3.1 for your dialogue scenes, switch to Kling or Seedance for dynamic action sequences, and use FLUX 3 Video for long, multi-scene sequences – all within the same platform!

Frequently Asked Questions

Which AI model is best for video generation?

There is no single best model, only the best model for your specific goal. If you need narrative consistency and sound, FLUX 3 Video and Veo 3.1 are strong choices. For high-end commercial work requiring flawless visuals and strict prompt adherence, Veo 3.1 is the industry standard. If your focus is dynamic action or dramatic transitions, Kling 3.0 Turbo or Hailuo 2.3 will offer the best physics and motion fluidity.

Why should I use Leonardo.Ai for video instead of individual tools?

Using a single model is often just the beginning of the creative process, and Leonardo.Ai acts as your complete production studio to support the entire workflow. Instead of managing multiple expensive subscriptions, you can access all the top-tier engines – like Veo 3.1, Kling, Seedance, and FLUX 3 Video – in one unified platform, allowing you to switch between them instantly to find the perfect look for your shot.

You also gain the advantage of a unified workflow, where you can generate high-quality “Start Frames” using our specialized image models and seamlessly animate them without ever leaving the interface. Furthermore, the Leonardo.Ai platform is constantly evolving, ensuring you always have immediate access to the newest and most powerful models as soon as they are released.

Which AI model has sound?

Several models on the platform generate synchronized native audio (dialogue, sound effects, and background scores) alongside the video track, including Veo 3.1, Kling 2.6, FLUX 3 Video, MiniMax H3, and Grok Imagine 1.5. For models without native audio, you can add sound in post-production — or generate it with Leonardo’s dedicated audio models (Music, Dialogue, and Sound Effects).

Which AI model is best for character consistency?

For narrative consistency, where a character needs to look the same across multiple shots, MiniMax H3 lets you lock a character and voice using image and audio references. The Kling O1 is another powerful specialist for this exact challenge: it features a “director-like memory” that allows you to upload multiple reference images, helping it maintain strict character identity and prop consistency across different scenes. For commercial projects where you need a specific product to remain exactly the same (like a bottle or a car), Veo 3.1 remains excellent due to its strict adherence to prompt instructions.

Which AI model is best for the animation genre?

If you are looking to create content in specific animation styles – like anime, 3D game CG, or ink-wash aesthetics – Hailuo 2.3 is a good choice. It excels at generating vivid, stylized visuals that remain stable even during complex movement. Seedance 2.0 is also worth trying here: its video-to-video mode can transfer motion onto stylized characters or restyle existing footage.