Wan 2.2 vs Veo 3: Which is the Better Match for You?

WAN 2.2 is the latest iteration in a fast-growing line of video generation models. Designed to improve consistency and extend creative possibilities, it represents a step forward in how AI can turn text prompts into coherent, dynamic video clips. At the same time, Veo 3 stands out as a powerful model, delivering higher quality and smoother motion for professional use.

This article takes a closer look at Wan 2.2 vs Veo 3, outlining their main differences in performance, usability, and cost to help readers evaluate which model may be the better fit.

Wan 2.2 vs Veo 3: Basic Features

Feature	Wan 2.2	Veo 3
Open Source	Yes	No
Resolution	1080P/720P/480P	1080P/720P/540P/360P
Input/Output Format	T2V, I2V	T2V, I2V
Video Length	5s	5s/8s
Aspect Ratio	16:9/9:16/1:1	16:9/9:16/1:1/3:4
Frame Rate	30FPS	24FPS

Wan 2.2 vs Veo 3: Key Highlights

Wan 2.2:

• MoE-Powered Diffusion Framework:
  Wan 2.2 integrates a Mixture-of-Experts mechanism into its video diffusion pipeline. Also, the model scales efficiently, increasing capacity without significantly raising compute requirements by assigning different stages of denoising to specialized expert networks,
• Enhanced Visual Style Control:
  Built on a dataset enriched with detailed annotations for light, framing, contrast, and color grading, Wan 2.2 offers fine-grained control over cinematic aesthetics. This enables creators to steer video output toward specific artistic directions with greater precision.
• Expanded Motion & Scene Training:
  Compared to Wan 2.1, Wan 2.2 is trained on over 65% more images and more than 80% additional video clips, giving the model broader exposure to motion dynamics, scene composition, and storytelling. This expansion strengthens its ability to generalize across diverse scenarios.
• High-Definition Hybrid TI2V Model:
  At its core, Wan 2.2 combines a 5B-parameter model with the Wan2.2-VAE, achieving a 16×16×4 compression rate. This design supports both text-to-video and image-to-video generation at 720p/24fps, while remaining lightweight enough to run on consumer GPUs like the RTX 4090. The balance of speed, efficiency, and quality makes it one of the most practical HD video generation models available.

Veo 3:

• Latent Diffusion Foundation
• Veo 3 builds upon latent diffusion, a widely adopted framework in generative media. By applying the diffusion process to spatio-temporal video latents and synchronized audio latents, it produces high-quality videos with sound directly from text or image prompts.
• Data-Centric Training
• The model is trained on large-scale datasets of video, image, and audio, each paired with captions of varying granularity. With support from multiple Gemini models, this approach improves semantic alignment, while filtering and deduplication ensure high-quality, safe, and compliant training data.
• Scalable Training Infrastructure
• Leveraging Google’s TPU Pods, Veo 3 benefits from high-bandwidth memory and distributed compute efficiency. Combined with frameworks, this infrastructure accelerates large-batch optimization while aligning with Google’s sustainability goals.
• Benchmark-Leading Results
• Evaluated on MovieGenBench and VBench (I2V), Veo 3 achieved state-of-the-art performance, consistently preferred by human raters for both visual fidelity and prompt adherence compared to contemporaries like Sora, Runway Gen-3/4, WAN 2.1, Kling 2.0, and Minimax

Wan 2.2 vs Veo 3: Price Comparison

Wan 2.2 is now live on Novita AI! Just log in and open the video generation tab. From there, you can set your video to 480p or 1080p, try Image-to-Video by uploading a picture, or use Text-to-Video with your own prompt. Check out the pricing page for Wan 2.2 and other models.

Model	Length/Resolution	Price (USD)
Wan 2.2 T2V / I2V	5s/480p	$0.09 / video
Wan 2.2 T2V / I2V	5s/720p	$0.27 / video
Wan 2.2 T2V / I2V	5s/1080p	$0.40 / video

Model	Input	Output	Price
Veo 3	Text/Image Prompt	Video	$0.50 / sec
Veo 3	Text/Image Prompt	Video + Audio	$0.75 / sec

Wan 2.2 is far more affordable. A 5-second clip costs just $0.09 at 480p or $0.40 at 1080p, making it ideal for large-scale, budget-friendly video generation. In contrast, Veo 3 follows a per-second pricing model—$0.50/sec for video only and $0.75/sec for video with audio. As a result, even a short 5-second clip without audio costs $2.50, making it considerably more expensive than Wan 2.2.

Takeaway:

• Wan 2.2: Best for cost-efficient, high-volume video generation.
• Veo 3: Richer in features (video + audio) but at a much higher price point.

Wan 2.2 vs Veo 3: Showcases

Prompt 1:

Generate a short video set in a futuristic city at night, lit up by neon lights, flying cars, and digital signs. The camera glides smoothly through the busy streets, showing both the vibrant night life below and the tall buildings above. The atmosphere should feel engaging and dynamic, mixing realism with a refined sci-fi style.

Prompt 2:

Create a cinematic video of a rooftop party at night, where a diverse group of friends dance and laugh beneath glowing string lights. Meanwhile, colorful neon reflections shimmer across the nearby glass buildings, while a DJ energizes the crowd from a small booth. As the music intensifies, the atmosphere grows more vibrant, and the camera opens with a wide shot of the lively scene. Afterward, it glides closer to capture smiling faces, raised drinks, and small groups chatting in the corners. Finally, subtle details—the sparkle of sequined outfits, hair swaying in the night breeze, and the distant city skyline—add richness and depth to the atmosphere. Overall, the mood should be vibrant, joyful, and immersive, capturing the energy of an unforgettable night.

How to Access Wan 2.2 on Novita AI?

Step 1: Log In and Access the Model Library

Log in to your account and click on the Model Library button.

Step 2: Choose Your Model

Browse through the available options and select the model that suits your needs.

Step 3: Get Your API Key

To authenticate with the API, we will provide you with a new API key. Entering the “Settings“ page, you can copy the API key as indicated in the image.

Step 4: Install the API

Install API using the package manager specific to your programming language.

After installation, import the necessary libraries into your development environment. Initialize the API with your API key to start interacting with Novita AI LLM. This is an example of using chat completions API for python users.

Frequently Asked Questions

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