LTX-2 vs Veo 3.1

Compare LTX and Veo 3.1 to see how LTX delivers high-fidelity video, speed and control.

LTX-2 vs Veo 3.1

Veo 3.1 is Google DeepMind’s flagship video model with native audio generation and enterprise Google Cloud integration β€” but it’s proprietary, cloud-only, and priced at a premium. LTX-2.3 delivers comparable cinematic quality with native 4K, open-source Apache 2.0 weights, local inference, and full audio-to-video at a fraction of the cost.

Veo 3.1

Developer

Lightricks
Google DeepMind

Parameters

22B
Undisclosed

Open Source

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No

License

Apache 2.0
Proprietary

OUTPUT QUALITY

Native 4K Rendering

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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)

20 sec Continuous Shot

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No (8 sec max per gen; chain via Extend)

Frame Rate (fps)

Up to 50 fps
24 fps

SPEED & COST

8 sec FHD Generation Time

~15 sec (H100 cloud)
1–2 min (Standard); <1 min (Fast)

8 sec FHD Video Price
(total cost for one 8-sec 1080p video)

$0.32 (Fast) / $0.48 (Pro)
$3.20 (Standard 1080p) / $1.20 (Fast 1080p)

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

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Limited – via Gemini app (requires Google One AI Premium $19.99/mo)

Subscription Plans
(non-API access)

Free (Desktop); API pay-per-use
Google One AI Premium $19.99/mo (includes Gemini Advanced)

CAPABILITIES

Text-to-Video

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Yes

Image-to-Video

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Yes

Video-to-Video / Retake

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No

Audio-to-Video

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Yes – native audio (dialogue, effects, music)

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

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Text + Image + Audio

Motion Control

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Yes – camera controls

Character Consistency

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Yes – reference images (1–3 images)

Content Moderation / Limits

No limits (open source)
Strict (people & sensitive content blocked; SynthID watermark)

DEVELOPER & ENTERPRISE

LoRA / Fine-tuning

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No

Runs on Consumer-Grade GPUs

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No – cloud only

API Available

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Yes – Vertex AI, Gemini API, Google AI Studio

ComfyUI / Diffusers Support

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No

SUMMARY

Best For

Production pipelines, local inference, enterprise, open-source devs
Enterprise via Google Cloud, Gemini ecosystem users
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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 Β from fast iteration to final-quality renders. Learn More β†’

Native Portrait

Generate vertical video up to 1080Γ—1920 β€” 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.

Native 4K 50 FPS

Generate cinematic-grade video with synchronized audio at true 4K / 50 fps. Built for professional workflows, ready for studio, developer, or enterprise production.

Which model is best for my business?

Subtext here if needed

LTX is best for:

  • Bullet point 1 β€” LTX is best for this use case
  • Bullet point 2 β€” LTX is best for this use case
  • Bullet point 3 β€” LTX is best for this use case
  • Bullet point 4 β€” LTX is best for this use case

Veo 3.1 is best for:

  • Bullet point 1 β€” Competitor is best for this use case
  • Bullet point 2 β€” Competitor is best for this use case
  • Bullet point 3 β€” Competitor is best for this use case