Compare engines

Google Veo 3.1 vs Wan 2.5 Text & Image to Video

Compare Google Veo 3.1 with Wan 2.5 Text & Image to Video for polished 4K production or lower-cost legacy clips. Wan 2.5 remains available for simple jobs up to 10 seconds, while Veo adds references, first-last-frame control, and extension.

Quick verdict

Choose Google Veo 3.1 for polished final ads, 4K, references, and advanced production controls. Stay on available Wan 2.5 for inexpensive text or image clips up to 10 seconds; migrate to current Wan 2.6 for 15-second text/image clips with audio or separate 5/10-second silent reference-video work.

7.9/10Score

Google Veo 3.1

Strengths: Ads and B-roll

4.8/10Score

Wan 2.5 Text & Image to Video

Strengths: Pricing, Speed & Stability

Pricing snapshot

MaxVideoAI price per second by resolution; the pricing score compares the same tier when possible.

Google Veo 3.1

720p: $0.52/s1080p: $0.52/s4K: $0.78/s

Wan 2.5 Text & Image to Video

480p: $0.07/s720p: $0.13/s1080p: $0.20/s

Comparable score tier: 720p: $0.52/s vs 720p: $0.13/s

Scorecard (Side-by-Side)

Scores reflect quality and control on MaxVideoAI across 11 criteria.

How we benchmark
8.4

Prompt Adherence

iprompt alignment / instruction following
4.7
8.1

Visual Quality

iimage quality / aesthetic quality / realism / artifacts / flicker
4.7
7.9

Motion Realism

imotion smoothness / physics plausibility
4.9
7.4

Temporal Consistency

itemporal coherence / identity consistency
4.8
8.2

Human Fidelity

ifaces / hands / body realism
5.2
7.2

Text & UI Legibility

itext rendering / readability
4.5
9.0

Audio & Lip Sync

ilip sync quality / dialogue sync
4.0
7.8

Multi-Shot Sequencing

ishot-to-shot continuity / multi-shot
5.0
8.3

Controllability

icamera control / constraint following
5.5
7.4

Speed & Stability

ilatency / success rate
8.0
4.9

Pricing

iprice per second / credits / estimated cost
9.0

Winner summary

Leads on scorecard

Google Veo 3.1 leads on 9/11 (best: Audio & Lip Sync, Prompt Adherence).

Cheaper on MaxVideoAI

Cheaper: Wan 2.5 Text & Image to Video (720p: $0.52/s vs 720p: $0.13/s).

Video-to-Video

Video-to-Video: Google Veo 3.1 (Supported (Extend from one source video) vs Not supported).

Key Specs (Side-by-Side)

Compare key AI video model specs side-by-side (pricing, inputs, resolution, duration, aspect ratios, audio, and core controls). This is a high-level snapshot — see the full engine profile for the complete feature set and prompt examples.

Google Veo 3.1Key specWan 2.5 Text & Image to Video
720p: $0.52/s
1080p: $0.52/s
4K: $0.78/s
Pricing (MaxVideoAI)
480p: $0.07/s
720p: $0.13/s
1080p: $0.20/s
Text-to-Video
Image-to-Video
Video-to-Video
First/Last frame
Image-to-Video: 1 start image; Reference-to-Video: 1-3 stills
Reference image / style reference
Reference video
4K
Max resolution
1080p
8s
Max duration
10s
130s avg
Avg render time
Data pending
16:9 / 9:16
Aspect ratios
16:9 / 9:16 / 1:1
24 fps
FPS options
24 fps
MP4
Output format
MP4
Audio output
Native audio generation
Lip sync
Prompt-based only
Camera / motion controls
Basic
No (MaxVideoAI)
Watermark
No (MaxVideoAI)

Choose Veo for polished 4K

Veo supports 720p through 4K, native audio, references, first and last frames, and extension for controlled final production.

Stay on Wan 2.5 for simple value

Keep Wan 2.5 when its available 480p, 720p, or 1080p text and image workflow already covers a budget clip up to 10 seconds.

Upgrade the Wan workflow

Move to current Wan 2.6 Text & Image to Video for 5-, 10-, or 15-second clips with optional audio; its separate silent reference-video mode supports 5 or 10 seconds.

Eight seconds or ten

Veo focuses on controlled clips up to eight seconds; legacy Wan provides two extra seconds when advanced controls are unnecessary.

Recommended next steps

Showdown (same prompt)

Side-by-side renders from the same prompt on MaxVideoAI. Prompts are identical; outputs may vary by model.

Showing up to 3 prompt pairs for clarity.

Fast Motion + Physics (16:9)

What it tests: Motion Realism + Temporal Consistency + Visual Quality

Prompt
Source prompt

Wide 16:9 cinematic action shot, a runner sprints through a rainy city street at night, water splashes realistically with each step, reflections on wet asphalt, handheld tracking camera following from the side. Dynamic motion with believable inertia and physics, no rubbery limbs, no wobbling background, stable scene geometry, minimal temporal flicker, sharp details despite fast movement, realistic motion blur.

Google Veo 3.1

Wan 2.5 Text & Image to Video

Placeholder example — prompt render coming soon
Try this prompt:Generate with Veo 3.1Generate with 2.5 Text & Image to VideoOpens the generator pre-filled.

UGC Talking Head + Lip Sync (9:16)

What it tests: Human Fidelity + Audio/Lip Sync + Prompt Adherence

Prompt
Source prompt

Vertical 9:16 TikTok-style UGC selfie video, handheld smartphone feel, natural indoor daylight near a window. A friendly creator speaks directly to camera with natural blinking, subtle head nods, and a warm smile. Add small human imperfections: a tiny hesitation, a soft breath, a quick smile mid-sentence, and a micro-pause before the last line. Realistic skin texture, stable identity, no face warping, minimal flicker, clean audio with natural room tone. No subtitles. No on-screen text. No logos. No watermarks. The creator says (exactly, with the same pacing and hesitations): “Okay, so… um… quick thing. If you’re feeling stuck, just do the tiniest first step… like, set a two-minute timer and start. (smiles) That’s it. You’ll be surprised how fast it gets easier.”

Google Veo 3.1

Wan 2.5 Text & Image to Video

Try this prompt:Generate with Veo 3.1Generate with 2.5 Text & Image to VideoOpens the generator pre-filled.

Hands + Product Demo + On-screen Text

What it tests: Hands/Fingers + Text & UI Legibility + Prompt Adherence

Prompt
Source prompt

Wide 16:9 full-body unboxing video in a clean studio/kitchen setting. A person is fully visible (head-to-toe or at least head-to-knees) standing behind a minimalist tabletop. They unbox a small generic gadget from a plain matte cardboard box: peel the seal, open the lid, remove the inner tray, take out the device and accessories, and lay everything neatly on the table. The person occasionally lifts the item toward the camera for a closer look, then places it back down. Realism requirements: natural body proportions, stable identity, realistic skin and clothing fabric, no face warping, no unnatural limb bending. Hands must be highly realistic: correct finger count, natural grip, believable pressure/contact with the box and device, consistent shadows, no extra fingers, no “floating” objects. Keep object geometry stable, no wobbling background, minimal temporal flicker. Camera: single continuous shot, tripod-stable, slight cinematic push-in (very slow), eye-level or slightly above table height. Natural soft daylight, clean shadows, realistic materials and textures. No logos, no brand names, no watermarks. No subtitles. Optional on-screen title at the top (perfectly readable and stable, no jitter): "UNBOXING — FIRST LOOK"

Google Veo 3.1

Wan 2.5 Text & Image to Video

Try this prompt:Generate with Veo 3.1Generate with 2.5 Text & Image to VideoOpens the generator pre-filled.

This side-by-side AI video comparison uses identical prompts to highlight differences in motion, realism, human fidelity, and text legibility. For full specs, controls, and more prompt examples, open each engine profile.

FAQ

Answers for choosing Veo controls, legacy Wan value, or the current Wan upgrade.

Is Wan 2.5 still available on MaxVideoAI?

Yes. Wan 2.5 remains available for legacy text-to-video and image-to-video jobs up to 10 seconds in 480p, 720p, or 1080p.

Who should stay on Wan 2.5 instead of choosing Veo 3.1?

Stay on Wan 2.5 when lower-cost simple clips and two extra seconds matter more than 4K, references, first-last-frame control, or extension.

When should a Wan 2.5 user migrate to Wan 2.6?

Upgrade to current Wan 2.6 for text or image clips up to 15 seconds with optional audio, or use its separate 5/10-second silent mode for one to three reference videos.