Compare engines

Google Veo 3.1 Fast vs Wan 2.5 Text & Image to Video

Compare Google Veo 3.1 Fast with Wan 2.5 Text & Image to Video when deciding between current 4K controls and an inexpensive legacy workflow. Veo Fast reaches eight seconds; available Wan 2.5 reaches 10 seconds with simpler text and image inputs.

Quick verdict

Choose Google Veo 3.1 Fast for rapid current production with 4K, references, first-last-frame control, and extension. Stay on available Wan 2.5 for inexpensive simple clips with two extra seconds; migrate to current Wan 2.6 for 15-second text/image clips with audio or 5/10-second silent reference-led work.

7.6/10Score

Google Veo 3.1 Fast

Strengths: Fast iterations

4.8/10Score

Wan 2.5 Text & Image to Video

Pricing snapshot

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

Google Veo 3.1 Fast

720p: $0.13/s1080p: $0.16/s4K: $0.39/s

Wan 2.5 Text & Image to Video

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

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

Scorecard (Side-by-Side)

Scores reflect quality and control on MaxVideoAI across 11 criteria.

How we benchmark
8.1

Prompt Adherence

iprompt alignment / instruction following
4.7
7.1

Visual Quality

iimage quality / aesthetic quality / realism / artifacts / flicker
4.7
7.7

Motion Realism

imotion smoothness / physics plausibility
4.9
7.0

Temporal Consistency

itemporal coherence / identity consistency
4.8
7.6

Human Fidelity

ifaces / hands / body realism
5.2
6.5

Text & UI Legibility

itext rendering / readability
4.5
8.4

Audio & Lip Sync

ilip sync quality / dialogue sync
4.0
7.5

Multi-Shot Sequencing

ishot-to-shot continuity / multi-shot
5.0
7.9

Controllability

icamera control / constraint following
5.5
9.1

Speed & Stability

ilatency / success rate
8.0
9.0

Pricing

iprice per second / credits / estimated cost
9.0

Winner summary

Leads on scorecard

Google Veo 3.1 Fast leads on 10/11 (best: Audio & Lip Sync, Prompt Adherence).

Video-to-Video

Video-to-Video: Google Veo 3.1 Fast (Supported (extend / retake workflows) 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 3.1 FastKey specWan 2.5 Text & Image to Video
720p: $0.13/s
1080p: $0.16/s
4K: $0.39/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 mode: 1-3 stills
Reference image / style reference
Reference video
4K
Max resolution
1080p
8s
Max duration
10s
139s 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 Fast for controls

Use Veo Fast for 720p, 1080p, or 4K output with audio, references, first and last frames, and extension in an eight-second workflow.

Keep Wan 2.5 for simple clips

Stay on Wan when its available text or image generation, 480p-to-1080p ladder, and 10-second limit already fit the assignment.

Migrate for modern Wan control

Upgrade to Wan 2.6 Text & Image to Video for text/image clips up to 15 seconds with optional audio; its separate silent reference mode accepts one to three videos for 5 or 10 seconds.

Core duration trade-off

Veo Fast stops at eight seconds but adds current production controls and 4K; Wan 2.5 offers 10-second simplicity at up to 1080p.

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 Fast

Wan 2.5 Text & Image to Video

Placeholder example — prompt render coming soon
Try this prompt:Generate with Veo 3.1 FastGenerate 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 Fast

Wan 2.5 Text & Image to Video

Try this prompt:Generate with Veo 3.1 FastGenerate 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 Fast

Wan 2.5 Text & Image to Video

Try this prompt:Generate with Veo 3.1 FastGenerate 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 fast Veo production, simple Wan value, and the Wan 2.6 migration path.

Does Wan 2.5 remain available beside Veo 3.1 Fast?

Yes. Wan 2.5 remains available as a legacy text and image route for clips up to 10 seconds in 480p, 720p, or 1080p.

When should I stay on Wan 2.5?

Keep Wan 2.5 for straightforward budget clips when 10 seconds and up to 1080p are enough and advanced reference or frame controls add no value.

When is Wan 2.6 the better upgrade from Wan 2.5?

Move to current Wan 2.6 for 1080p text/image clips up to 15 seconds with optional audio, or for separate 5/10-second silent generation guided by one to three reference videos.