Compare engines

LTX 2.3 Fast vs Wan 2.5 Text & Image to Video

Compare current LTX 2.3 Fast with available Wan 2.5 Text & Image to Video. LTX reaches 4K, supports longer constrained clips, and lists a lower shared 1080p rate; Wan keeps 1:1 output and lower-resolution 480p/720p entry options for simple ten-second jobs.

Quick verdict

Stay on available Wan 2.5 Text & Image to Video for existing simple work or 1:1 and lower-resolution output; upgrade to current LTX 2.3 Fast for 4K, lower listed 1080p pricing, or longer constrained clips. Above 10 seconds, LTX requires 1080p at 25 fps.

6.7/10Score

LTX 2.3 Fast

Strengths: Audio & Lip Sync, Prompt Adherence

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.

LTX 2.3 Fast

1080p: $0.05/s1440p: $0.11/s4K: $0.21/s

Wan 2.5 Text & Image to Video

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

Comparable score tier: 1080p: $0.05/s vs 720p: $0.13/s

Scorecard (Side-by-Side)

Scores reflect quality and control on MaxVideoAI across 11 criteria.

How we benchmark
7.1

Prompt Adherence

iprompt alignment / instruction following
4.7
6.9

Visual Quality

iimage quality / aesthetic quality / realism / artifacts / flicker
4.7
7.2

Motion Realism

imotion smoothness / physics plausibility
4.9
5.9

Temporal Consistency

itemporal coherence / identity consistency
4.8
7.0

Human Fidelity

ifaces / hands / body realism
5.2
6.2

Text & UI Legibility

itext rendering / readability
4.5
7.3

Audio & Lip Sync

ilip sync quality / dialogue sync
4.0
6.0

Multi-Shot Sequencing

ishot-to-shot continuity / multi-shot
5.0
7.1

Controllability

icamera control / constraint following
5.5
9.0

Speed & Stability

ilatency / success rate
8.0
9.8

Pricing

iprice per second / credits / estimated cost
9.0

Winner summary

Leads on scorecard

LTX 2.3 Fast leads on 11/11 (best: Audio & Lip Sync, Prompt Adherence).

Cheaper on MaxVideoAI

Cheaper: LTX 2.3 Fast (1080p: $0.05/s vs 720p: $0.13/s).

First/Last frame

First/Last frame: LTX 2.3 Fast (Supported (start + end image in I2V) 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.

LTX 2.3 FastKey specWan 2.5 Text & Image to Video
1080p: $0.05/s
1440p: $0.11/s
4K: $0.21/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
Reference image / style reference
Reference video
4K (6–10s); 1080p for >10s routing
Max resolution
1080p
20s (>10s requires 1080p / 25 fps)
Max duration
10s
36s avg
Avg render time
Data pending
16:9 / 9:16
Aspect ratios
16:9 / 9:16 / 1:1
24 fps / 25 fps / 48 fps / 50 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)

Stay with Wan for accessible formats

Keep Wan 2.5 for simple text/image generation with audio in 480p, 720p, or 1080p and 16:9, 9:16, or square output.

Move to LTX for higher resolution

LTX 2.3 Fast adds 1440p and 4K, broader FPS selection, and a lower listed rate than Wan at their shared 1080p resolution.

Key format and duration trade-off

Wan provides 1:1 and lower-resolution entry tiers; LTX adds high resolution and longer output, restricted above ten seconds to 1080p at 25 fps.

Best workflows for each model

Use Wan for simple square or entry-resolution clips; use LTX for 1080p value, 1440p or 4K delivery, and constrained longer landscape or portrait shots.

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.

LTX 2.3 Fast

Wan 2.5 Text & Image to Video

Placeholder example — prompt render coming soon
Try this prompt:Generate with LTX 2.3 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.”

LTX 2.3 Fast

Wan 2.5 Text & Image to Video

Try this prompt:Generate with LTX 2.3 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"

LTX 2.3 Fast

Wan 2.5 Text & Image to Video

Try this prompt:Generate with LTX 2.3 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 Wan 2.5 continuity and migrating higher-resolution jobs to LTX 2.3 Fast.

When should I keep using Wan 2.5?

Stay on the available model for simple ten-second text/image clips, especially when 480p, 720p, or native 1:1 output fits the channel.

Why migrate a 1080p job to LTX 2.3 Fast?

LTX lists a lower per-second price at the shared 1080p tier and adds 1440p, 4K, and more frame-rate choices for current production.

Can LTX 2.3 Fast create a 20-second 4K video?

No. Its generations above ten seconds require 1080p at 25 fps, so 1440p and 4K work must stay at ten seconds or less.