LTX Models (LTX-2, LTX-2.3) vs Veo 3.1

LTX delivers native 4K, on-prem deployment, and full LoRA customisation without Google Cloud dependency. For 2026 enterprise pipelines, model ownership and data sovereignty are non-negotiable.

LTX-2.3 vs Veo 3.1

LTX delivers native 4K, on-prem deployment, and full LoRA customisation without Google Cloud dependency. For 2026 enterprise pipelines, model ownership and data sovereignty are non-negotiable.

Veo 3.1

Developer

Lightricks
Google DeepMind

Parameters

22B
Undisclosed

Open Source

Yes
No

On-Prem

Yes (self-host)
No

OUTPUT QUALITY

Native 4K Rendering

Yes (3840×2160)
No (1080p native; 4K upscale available)

Max Video Length

20 sec (Fast) / 10 sec (Pro)
4–8 sec per generation (extendable to ~148 sec via Extend)

Frame Rate (fps)

Up to 50 fps
24 fps (default) / up to 60 fps

SPEED & COST

8 sec FHD Generation Time

~15 sec (H100 cloud)
~3 min (Standard); ~1 min (Fast)

API Pricing
(per second of video)

$0.04/sec (Fast 1080p) $0.06/sec (Pro 1080p) $0.16/sec (Fast 4K) $0.24/sec (Pro 4K)
$0.15/sec (Fast) $0.40/sec (Standard) $0.75/sec (Full / Veo 3.0) +~50% for audio

Free Access

Yes – open-source + free Desktop app
Limited – via Gemini app (requires Google AI Pro $19.99/mo); Flow tool has limited free credits

Subscription Plans
(non-API access)

Free (self-host & Desktop)
Google AI Pro $19.99/mo; Google AI Ultra (higher limits)

CAPABILITIES

Text-to-Video

Yes
Yes

Image-to-Video

Yes
Yes

Retake

Yes (LTX Retake)
No

HDR Output

Yes
No

Extend

Yes
No

LipDub

Yes
No

Audio-to-Video

Yes – native multimodal
Yes – native audio (dialogue, effects, music)

Multi-modal Inputs
(text + image + audio + video)

All four
Text + Image + Audio

Motion Control

Yes – full control
Yes – camera controls

Character Consistency

Yes – via LoRA fine-tuning
Yes – reference images (1–3 images)

Content Moderation / Limits

No limits (open source)
Strict (NSFW & violence blocked; SynthID invisible watermark on all outputs; visible watermark on most tiers)

DEVELOPER & ENTERPRISE

LoRA / Fine-tuning

Yes – LoRA + IC-LoRA
No

Fully Customizable

Yes
No

Runs on Consumer-Grade GPUs

Yes
No – cloud only

ComfyUI / Diffusers Support

Yes
No

SUMMARY

Best For

Enterprise teams needing on-prem deployment, full model customization, IP protection, and zero marginal cost at scale
Organizations already in the Google Cloud / Vertex AI ecosystem
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Customer Voices

Success, Engineered Together

"For professional studios, this level of control is not optional.
Training and steering video models like LTX is the most viable way to align AI with real production needs, where predictability, ownership, and creative intent matter as much as visual quality"
Mohamed Oumoumad
CTO, Gear Productions
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The LTX Stack

Build, Create, and Scale with LTX

Production-grade video generation models designed to hold up under real workloads. Built for long sequences, precise motion, and high-fidelity output  from fast iteration to final-quality renders. Learn More →

HDR Output

Delivered as an IC-LoRA on LTX-2.3. Generate directly in HDR or convert existing SDR footage to EXR. More grading latitude, more range, ready for real finishing pipelines.

Native Portrait

Generate vertical video up to 1080×1920 — trained on portrait-orientation data, not cropped from landscape.

Audio to Video

Generate video where voice, music, and sound effects define structure, pacing, and motion.Built for production-grade workflows that require precise, harmonious control over audio-led scenes - from podcasts and avatars to voice-driven clips -not one-off demos or talking heads.

20 sec Clip

Extend creative range with long-form generation. Produce up to 20 seconds of high-fidelity video with complete control and consistent style.

Which model is best for my business?

Subtext here if needed

LTX is best for:

  • Bullet point 1 — LTX is best for this use case
  • Bullet point 2 — LTX is best for this use case
  • Bullet point 3 — LTX is best for this use case
  • Bullet point 4 — LTX is best for this use case

Veo 3.1 is best for:

  • Bullet point 1 — Competitor is best for this use case
  • Bullet point 2 — Competitor is best for this use case
  • Bullet point 3 — Competitor is best for this use case